{
  "schema": "5lc-selection-review/1",
  "sublayer": "inference-serving",
  "asOf": "2026-10-21",
  "status": "Researcher recommendation; root challenge and integration review pending",
  "scope": {
    "geography": "Global",
    "activity": "Commercial suppliers that run or route models for external users: managed multimodel clouds, custom runtimes, multimodal serving, gateways and specialized-hardware inference. Bare GPU rental alone is insufficient.",
    "period": "Latest actual disclosures through October 21, 2026; reporting windows retained rather than silently annualized.",
    "scopeClarification": "The old roster omitted hyperscalers despite an unrestricted definition of model serving. The global scope now includes them; an independent-platform-only alternative is separately reported rather than silently assuming that narrower market."
  },
  "eligibility": {
    "rule": "Documented current commercial model supply, licensed product or operational customer use. Funding, pre-release research, technical benchmarks and future capacity do not establish current scale.",
    "missing": "Unknown paid scale is not zero. A current product may qualify while its cutoff position remains uncertain.",
    "parent": "One economic group per sublayer; owned units and brands consolidated. Cross-sublayer placements represent different activity, not additional independent companies."
  },
  "predefinedFunctions": [
    {
      "id": "managed-multimodel",
      "required": true
    },
    {
      "id": "integrated-enterprise-cloud",
      "required": true
    },
    {
      "id": "custom-model-serving",
      "required": true
    },
    {
      "id": "multimodal-serving",
      "required": true
    },
    {
      "id": "routing-gateway",
      "required": true
    },
    {
      "id": "serverless-custom-runtime",
      "required": true
    },
    {
      "id": "specialized-hardware-serving",
      "required": true
    }
  ],
  "universe": {
    "establishedAt": "2026-10-20",
    "initialFile": "candidate-universe.json",
    "reconciledCandidates": [
      {
        "entityId": "amazon",
        "name": "Amazon",
        "economicParent": "amazon",
        "eligible": true,
        "functions": [
          "managed-multimodel",
          "integrated-enterprise-cloud"
        ],
        "roleEvidence": "Nova supplies proprietary models and Bedrock runs own and third-party models. Ryanair and UniOpen document actual production use. AWS consolidated revenue is excluded.",
        "sourceIds": [
          "amazon:nova-ryanair",
          "amazon:nova-uniopen",
          "amazon:bedrock"
        ]
      },
      {
        "entityId": "microsoft",
        "name": "Microsoft",
        "economicParent": "microsoft",
        "eligible": true,
        "functions": [
          "managed-multimodel",
          "integrated-enterprise-cloud"
        ],
        "roleEvidence": "Own MAI model in production GitHub Copilot, reasoning preview and Foundry model serving. Azure/Copilot revenue does not identify MAI revenue.",
        "sourceIds": [
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          "microsoft:mai-thinking",
          "microsoft:foundry"
        ]
      },
      {
        "entityId": "alphabet",
        "name": "Alphabet",
        "economicParent": "alphabet",
        "eligible": true,
        "functions": [
          "managed-multimodel",
          "integrated-enterprise-cloud"
        ],
        "roleEvidence": "Alphabet supplies several stages of the AI value chain: accelerators, compute, models and distribution through consumer and enterprise products. Actual cloud sales and model use support its inclusion; parent advertising revenue, backlog and future capital expenditure are not substitutes for model revenue.",
        "sourceIds": [
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        "sourceReviewFile": "models/reviews/alphabet.json",
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        "currentPacketHomeSublayer": "frontier-labs",
        "currentSummaryEvidence": {
          "tagline": "Google's parent: Gemini models, TPUs, Google Cloud and Search.",
          "description": "Alphabet owns Google, whose businesses combine advertising, cloud infrastructure and software. Google DeepMind develops Gemini, while Gemma provides separately licensed open-weight models. Google Cloud supplies TPUs, GPUs and managed AI services; general model-development costs are reported within Alphabet-level activities rather than as an independent model-revenue segment.",
          "whyItMatters": "Alphabet supplies several stages of the AI value chain: accelerators, compute, models and distribution through consumer and enterprise products. Actual cloud sales and model use support its inclusion; parent advertising revenue, backlog and future capital expenditure are not substitutes for model revenue.",
          "evidence": "company_stated",
          "sourceIds": [
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            "alphabet:a-q2remarks",
            "alphabet:a-argon-ga",
            "alphabet:a-gemma4"
          ],
          "locator": "10-K FY2025 Item 1 Business; Q2 2026 earnings release"
        }
      },
      {
        "entityId": "alibaba",
        "name": "Alibaba",
        "economicParent": "alibaba",
        "eligible": true,
        "functions": [
          "managed-multimodel",
          "integrated-enterprise-cloud"
        ],
        "roleEvidence": "Alibaba provides both downloadable models and commercial model access, supported by its cloud and distribution businesses. Named enterprise deployments establish use beyond internal commerce. Large infrastructure targets and parameter counts describe strategy and capability; they are not measures of current customer demand.",
        "sourceIds": [
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        "sourceReviewFile": "models/reviews/alibaba.json",
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        "currentPacketHomeSublayer": "frontier-labs",
        "currentSummaryEvidence": {
          "tagline": "Qwen models, cloud infrastructure and in-house AI chips",
          "description": "Alibaba combines commerce with cloud infrastructure, proprietary chips, Qwen models and AI applications. Its June-quarter reporting separates AI Cloud and Compute Services from AI Labs and Applications. The first includes cloud and T-Head; the second includes model laboratories and consumer and workplace applications. These segments do not isolate model API revenue.",
          "whyItMatters": "Alibaba provides both downloadable models and commercial model access, supported by its cloud and distribution businesses. Named enterprise deployments establish use beyond internal commerce. Large infrastructure targets and parameter counts describe strategy and capability; they are not measures of current customer demand.",
          "evidence": "company_stated",
          "sourceIds": [
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            "alibaba:acloud-global-2026"
          ],
          "locator": "Form 20-F FY2026, Item 4.B and Item 5; June quarter 2026 results, Business and Strategic Updates"
        }
      },
      {
        "entityId": "fireworks-ai",
        "name": "Fireworks AI",
        "economicParent": "fireworks-ai",
        "eligible": true,
        "functions": [
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          "custom-model-serving"
        ],
        "roleEvidence": "Fireworks supplies the operating layer through which companies customize and run models. Commercial cases support its role across legal, coding and clinical applications. Its run rate and token volume describe different aspects of the same activity and must not be counted as independent market-share scores.",
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        "currentPacketHomeSublayer": "inference-serving",
        "currentSummaryEvidence": {
          "tagline": "Inference, post-training and model routing for production applications",
          "description": "Fireworks serves open and customer-specialized models through serverless, dedicated and reserved inference. Its training API became generally available in August 2026, while FireRouter routes tasks between open models and Claude. In July the company reported more than $1 billion annualized revenue and 40 trillion tokens served daily; token-count conventions and inference-only recognized revenue are not separately disclosed.",
          "whyItMatters": "Fireworks supplies the operating layer through which companies customize and run models. Commercial cases support its role across legal, coding and clinical applications. Its run rate and token volume describe different aspects of the same activity and must not be counted as independent market-share scores.",
          "evidence": "company_stated",
          "sourceIds": [
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            "fireworks-ai:fw-training",
            "fireworks-ai:fw-firerouter"
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      },
      {
        "entityId": "together-ai",
        "name": "Together AI",
        "economicParent": "together-ai",
        "eligible": true,
        "functions": [
          "managed-multimodel",
          "custom-model-serving"
        ],
        "roleEvidence": "Together combines model distribution, serving infrastructure and customization. That makes it a route from open-weight releases to deployed applications. Its future compute commitments describe expansion plans, not current delivered inference capacity.",
        "sourceIds": [
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        "currentPacketHomeSublayer": "inference-serving",
        "currentSummaryEvidence": {
          "tagline": "Open-model serving, post-training and GPU infrastructure",
          "description": "Together AI supplies model APIs, dedicated inference and GPU clusters. Its October post-training service supports supervised learning and reinforcement learning. The company has named production users including Cognition, Decagon, ElevenLabs, Cursor and Suno. Revenue attributable specifically to inference is undisclosed.",
          "whyItMatters": "Together combines model distribution, serving infrastructure and customization. That makes it a route from open-weight releases to deployed applications. Its future compute commitments describe expansion plans, not current delivered inference capacity.",
          "evidence": "company_stated",
          "sourceIds": [
            "together-ai:tg-blog-seriesc",
            "together-ai:tg-post",
            "together-ai:tg-moonshot"
          ]
        }
      },
      {
        "entityId": "fal",
        "name": "fal",
        "economicParent": "fal",
        "eligible": true,
        "functions": [
          "multimodal-serving"
        ],
        "roleEvidence": "Commercial users including Canva and Adobe establish a role between media-model developers and applications. The breadth of hosted models and customer integrations supports inclusion; neither valuation nor inconsistent developer totals establishes an exact market share.",
        "sourceIds": [
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        "sourceReviewFile": "models/reviews/fal.json",
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        "currentPacketHomeSublayer": "inference-serving",
        "currentSummaryEvidence": {
          "tagline": "Serving and customization infrastructure for generative media",
          "description": "fal sells access to image, video and audio models and infrastructure for deploying customer models. Its H3 Max product is a post-trained MiniMax model. Model distribution, cloud operation and proprietary customization therefore contribute different parts of its business.",
          "whyItMatters": "Commercial users including Canva and Adobe establish a role between media-model developers and applications. The breadth of hosted models and customer integrations supports inclusion; neither valuation nor inconsistent developer totals establishes an exact market share.",
          "evidence": "company_stated",
          "sourceIds": [
            "fal:fal-home",
            "fal:fal-aws",
            "fal:fal-h3max"
          ]
        }
      },
      {
        "entityId": "openrouter",
        "name": "OpenRouter",
        "economicParent": "openrouter",
        "eligible": true,
        "functions": [
          "routing-gateway"
        ],
        "roleEvidence": "The gateway influences which models and hosts receive developer traffic. Its role is distribution and governance, so its platform fees and routed token volumes cannot be added to provider sales as independent AI-market output.",
        "sourceIds": [
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          "openrouter:or-joining-stripe",
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        "sourceReviewFile": "models/reviews/openrouter.json",
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        "currentPacketHomeSublayer": "inference-serving",
        "currentSummaryEvidence": {
          "tagline": "Gateway for model routing, billing and governance",
          "description": "OpenRouter routes requests across external model providers and manages access, spend and policy controls. Its current About page reports more than 600 trillion monthly tokens. This is routed activity, potentially also counted by underlying hosts. Stripe agreed to acquire the company in August; a separately confirmed completion was not found in the reviewed announcements.",
          "whyItMatters": "The gateway influences which models and hosts receive developer traffic. Its role is distribution and governance, so its platform fees and routed token volumes cannot be added to provider sales as independent AI-market output.",
          "evidence": "company_stated",
          "sourceIds": [
            "openrouter:or-about",
            "openrouter:or-joining-stripe",
            "openrouter:stripe-release"
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        }
      },
      {
        "entityId": "modal",
        "name": "Modal",
        "economicParent": "modal",
        "eligible": true,
        "functions": [
          "serverless-custom-runtime",
          "custom-model-serving"
        ],
        "roleEvidence": "Modal supplies the execution environment around AI models as well as model serving. This distinction matters when comparing it with API resellers or dedicated inference operators: commercial scale includes workloads outside inference.",
        "sourceIds": [
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        "currentPacketHomeSublayer": "inference-serving",
        "currentSummaryEvidence": {
          "tagline": "Serverless infrastructure for inference, training and agents",
          "description": "Modal runs customer code across pooled cloud capacity, with usage-based compute, storage and scheduling. Its platform serves inference, model training and isolated agent execution. The October financing disclosure reports company-wide annualized run rate above $1bn and a separate $300m sandbox-product run rate; neither is an inference-only revenue figure.",
          "whyItMatters": "Modal supplies the execution environment around AI models as well as model serving. This distinction matters when comparing it with API resellers or dedicated inference operators: commercial scale includes workloads outside inference.",
          "evidence": "company_stated",
          "sourceIds": [
            "modal:modal-company",
            "modal:modal-seriesd"
          ]
        }
      },
      {
        "entityId": "cerebras",
        "name": "Cerebras",
        "economicParent": "cerebras",
        "eligible": true,
        "functions": [
          "specialized-hardware-serving"
        ],
        "roleEvidence": "The group is both a processor supplier and an operator of commercial inference. These roles can appear in different sublayers, but the company and its cloud unit must be consolidated whenever a market total is calculated.",
        "sourceIds": [
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        "sourceReviewFile": "models/reviews/cerebras.json",
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        "currentPacketHomeSublayer": "chip-design",
        "currentSummaryEvidence": {
          "tagline": "Wafer-scale AI processors, systems and cloud services",
          "description": "Cerebras designs Wafer-Scale Engine processors and sells integrated systems alongside cloud compute. Its architecture holds model weights in on-chip memory to reduce movement between chips. Hardware and cloud are reported separately, although the cloud category includes ancillary services. The company listed on Nasdaq in May 2026.",
          "whyItMatters": "The group is both a processor supplier and an operator of commercial inference. These roles can appear in different sublayers, but the company and its cloud unit must be consolidated whenever a market total is calculated.",
          "evidence": "filing",
          "sourceIds": [
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            "cerebras:cb-company",
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        }
      },
      {
        "entityId": "baseten",
        "name": "Baseten",
        "economicParent": "baseten",
        "eligible": true,
        "functions": [
          "custom-model-serving",
          "managed-multimodel"
        ],
        "roleEvidence": "Baseten turns model releases and distributed GPU capacity into production services for AI applications. Named deployments and a broad operating footprint establish a material serving role. Financing value and relative growth do not establish its precise share of the inference market.",
        "sourceIds": [
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        "currentPacketHomeSublayer": "inference-serving",
        "currentSummaryEvidence": {
          "tagline": "Production inference, post-training and agent execution infrastructure",
          "description": "Baseten operates dedicated inference and model APIs across multiple clouds. It supports open, custom and closed-weight models, offers post-training, and added agent sandboxes through its September acquisition of Blaxel. The company reported 20-fold revenue growth and 40-fold inference-volume growth in June 2026; neither disclosure supplied an absolute revenue denominator.",
          "whyItMatters": "Baseten turns model releases and distributed GPU capacity into production services for AI applications. Named deployments and a broad operating footprint establish a material serving role. Financing value and relative growth do not establish its precise share of the inference market.",
          "evidence": "company_stated",
          "sourceIds": [
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            "baseten:bt-blaxel",
            "baseten:bt-openai"
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      },
      {
        "entityId": "hugging-face",
        "name": "Hugging Face",
        "economicParent": "hugging-face",
        "eligible": true,
        "functions": [
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          "routing-gateway",
          "model-hub-endpoints"
        ],
        "roleEvidence": "The Hub links model publication with deployment and a broad developer community. This distribution role remains material even when inference revenue is undisclosed. Repository counts and community membership are not equivalent to paid serving share.",
        "sourceIds": [
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        "currentPacketHomeSublayer": "inference-serving",
        "currentSummaryEvidence": {
          "tagline": "Model distribution, developer infrastructure and managed inference",
          "description": "Hugging Face combines a model and dataset hub with paid storage, collaboration and deployment services. Inference Providers routes to external hosts, while Inference Endpoints manages dedicated deployments. NVIDIA announced an acquisition agreement in September; the reviewed evidence does not establish completion.",
          "whyItMatters": "The Hub links model publication with deployment and a broad developer community. This distribution role remains material even when inference revenue is undisclosed. Repository counts and community membership are not equivalent to paid serving share.",
          "evidence": "company_stated",
          "sourceIds": [
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      {
        "entityId": "groq",
        "name": "Groq",
        "economicParent": "groq",
        "eligible": true,
        "functions": [
          "specialized-hardware-serving"
        ],
        "roleEvidence": "Groq provides an alternative serving architecture and regional infrastructure for low-latency workloads. Existing services establish eligibility; advertised model speed and future megawatts do not establish delivered market share.",
        "sourceIds": [
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        "currentPacketHomeSublayer": "inference-serving",
        "currentSummaryEvidence": {
          "tagline": "Independent inference cloud operating LPUs and expanding its hardware platform",
          "description": "Groq operates commercial model-serving infrastructure. Its December 2025 NVIDIA agreement licensed technology and transferred some personnel while leaving Groq independent. Current offerings combine dedicated infrastructure, inference software and enterprise controls. New NVIDIA LPX systems remain described as future deployments.",
          "whyItMatters": "Groq provides an alternative serving architecture and regional infrastructure for low-latency workloads. Existing services establish eligibility; advertised model speed and future megawatts do not establish delivered market share.",
          "evidence": "company_stated",
          "sourceIds": [
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            "groq:groq-lpx"
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        }
      },
      {
        "entityId": "cloudflare-workers-ai",
        "name": "Workers AI",
        "economicParent": "cloudflare",
        "eligible": true,
        "functions": [
          "managed-multimodel",
          "serverless-custom-runtime",
          "routing-gateway",
          "multimodal-serving"
        ],
        "roleEvidence": "The group combines regional serving, model packaging and application infrastructure. The role is distinct from general network traffic: Cloudflare’s developer population and worldwide network capacity cannot be counted as inference customers or compute.",
        "sourceIds": [
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        "currentPacketHomeSublayer": "inference-serving",
        "currentSummaryEvidence": {
          "tagline": "Cloudflare’s model hosting and inference distribution services",
          "description": "Workers AI hosts models on Cloudflare infrastructure; AI Gateway provides routing and controls across its own service and external providers. Replicate, acquired in December 2025, adds deployment tooling and a broader model catalogue. Paid serving is established, but inference-specific revenue and usage are not separately disclosed.",
          "whyItMatters": "The group combines regional serving, model packaging and application infrastructure. The role is distinct from general network traffic: Cloudflare’s developer population and worldwide network capacity cannot be counted as inference customers or compute.",
          "evidence": "company_stated",
          "sourceIds": [
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            "cloudflare-workers-ai:cf-unification",
            "cloudflare-workers-ai:cf-replicate-close",
            "cloudflare-workers-ai:cf-vsco"
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        }
      },
      {
        "entityId": "deepinfra",
        "name": "DeepInfra",
        "economicParent": "deepinfra",
        "eligible": true,
        "functions": [
          "managed-multimodel"
        ],
        "roleEvidence": "Current paid multi-model inference API; comparable revenue or token throughput not disclosed.",
        "sourceIds": [
          "deepinfra:home"
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      {
        "entityId": "runpod",
        "name": "Runpod",
        "economicParent": "runpod",
        "eligible": true,
        "functions": [
          "serverless-custom-runtime"
        ],
        "roleEvidence": "Current serverless inference and GPU capacity; geography and GPU SKUs do not establish market share.",
        "sourceIds": [
          "runpod:home"
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      },
      {
        "entityId": "sambanova",
        "name": "SambaNova",
        "economicParent": "sambanova",
        "eligible": true,
        "functions": [
          "specialized-hardware-serving"
        ],
        "roleEvidence": "Current specialized-hardware inference and model-serving offering; throughput/revenue denominator unavailable.",
        "sourceIds": [
          "sambanova:home"
        ]
      },
      {
        "entityId": "inferact",
        "name": "Inferact",
        "economicParent": "inferact",
        "eligible": "qualified",
        "functions": [
          "custom-model-serving"
        ],
        "roleEvidence": "Engineering collaboration and current managed platform; material paying use is not established by vLLM popularity.",
        "sourceIds": [
          "inferact:google"
        ]
      },
      {
        "entityId": "radixark",
        "name": "RadixArk",
        "economicParent": "radixark",
        "eligible": "qualified",
        "functions": [
          "custom-model-serving"
        ],
        "roleEvidence": "Current software platform; SGLang popularity is not equivalent to company paid serving activity.",
        "sourceIds": [
          "radixark:home"
        ]
      },
      {
        "entityId": "nebius",
        "name": "Nebius",
        "economicParent": "nebius",
        "eligible": "qualified",
        "functions": [
          "managed-multimodel"
        ],
        "roleEvidence": "Token Factory is a material candidate; canonical Infrastructure review owns current commercial and revenue evidence. No cloud revenue is substituted for inference.",
        "sourceIds": []
      },
      {
        "entityId": "lambda",
        "name": "Lambda",
        "economicParent": "lambda",
        "eligible": "qualified",
        "functions": [
          "custom-model-serving"
        ],
        "roleEvidence": "Inference-capable cloud is a material candidate; Infrastructure review owns current evidence. GPU rentals are not automatically managed model-serving revenue.",
        "sourceIds": []
      },
      {
        "entityId": "nvidia",
        "name": "NVIDIA",
        "economicParent": "nvidia",
        "eligible": "qualified",
        "functions": [
          "custom-model-serving"
        ],
        "roleEvidence": "Released Nemotron families and named customer customization support current supply; GPU revenue and model benchmarks are excluded.",
        "sourceIds": [
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      },
      {
        "entityId": "vercel",
        "name": "Vercel",
        "economicParent": "vercel",
        "eligible": true,
        "functions": [
          "routing-gateway"
        ],
        "roleEvidence": "AI Gateway supplies current commercial routing and reports production traffic. Gateway data describe this service, not the worldwide inference market.",
        "sourceIds": [
          "gateway:sept"
        ]
      },
      {
        "entityId": "thinking-machines",
        "name": "Thinking Machines",
        "economicParent": "thinking-machines",
        "eligible": "qualified",
        "functions": [
          "custom-model-serving"
        ],
        "roleEvidence": "It connects open-weight model supply with enterprise customization and serving. Named deployments support commercial activity; reported revenue run rates remain unaudited and are not interchangeable with annual recognized revenue.",
        "sourceIds": [
          "thinking-machines:tm-inkling",
          "thinking-machines:tm-nvidia",
          "thinking-machines:tm-tc-0903",
          "thinking-machines:tm-tinker",
          "thinking-machines:tm-year-tinker"
        ],
        "packetSha256": "111a8a32c4f00750e02fc0fd2747291b5516bc7c2e4724d2c5045204fd1a8e95",
        "sourceReviewFile": "models/reviews/thinking-machines.json",
        "sourceReviewHashMatched": true,
        "currentPacketHomeSublayer": "frontier-labs",
        "currentSummaryEvidence": {
          "tagline": "Open-weight models and managed model customization",
          "description": "Thinking Machines Lab develops the Inkling model family and operates Tinker, a managed training API. Customers supply data and optimization logic while the company runs distributed training. An October update adds full fine-tuning and production inference in beta. Its NVIDIA agreement targets new capacity from early 2027.",
          "whyItMatters": "It connects open-weight model supply with enterprise customization and serving. Named deployments support commercial activity; reported revenue run rates remain unaudited and are not interchangeable with annual recognized revenue.",
          "evidence": "company_stated",
          "sourceIds": [
            "thinking-machines:tm-inkling",
            "thinking-machines:tm-tinker",
            "thinking-machines:tm-year-tinker",
            "thinking-machines:tm-nvidia",
            "thinking-machines:tm-tc-0903"
          ]
        }
      },
      {
        "entityId": "bytedance-seed",
        "name": "ByteDance Seed",
        "economicParent": "bytedance",
        "eligible": "qualified",
        "functions": [
          "managed-multimodel"
        ],
        "roleEvidence": "Seed connects model development with large consumer products and external creative and enterprise workflows. That distribution makes it relevant to the value chain; standalone model revenue and paid adoption are not disclosed sufficiently for a precise size ranking.",
        "sourceIds": [
          "bytedance-seed:bs-billing",
          "bytedance-seed:bs-hf-oss",
          "bytedance-seed:bs-models",
          "bytedance-seed:bs-seed-home",
          "bytedance-seed:bs-seed21"
        ],
        "packetSha256": "0957dca9a94dc6d730a6b4f798d1d760ba2506888fe453d094b4b7179f34fbd9",
        "sourceReviewFile": "models/reviews/bytedance-seed.json",
        "sourceReviewHashMatched": true,
        "currentPacketHomeSublayer": "frontier-labs",
        "currentSummaryEvidence": {
          "tagline": "ByteDance’s models for assistants, creative applications and enterprise APIs",
          "description": "Seed is ByteDance’s model research operation. Its current portfolio spans Seed 2.1 language models, Seedance video, Seedream images and speech systems. ByteDance combines internal application use with commercial delivery through BytePlus and Volcano Engine. Selected research models have downloadable weights.",
          "whyItMatters": "Seed connects model development with large consumer products and external creative and enterprise workflows. That distribution makes it relevant to the value chain; standalone model revenue and paid adoption are not disclosed sufficiently for a precise size ranking.",
          "evidence": "company_stated",
          "sourceIds": [
            "bytedance-seed:bs-seed-home",
            "bytedance-seed:bs-models",
            "bytedance-seed:bs-seed21",
            "bytedance-seed:bs-billing",
            "bytedance-seed:bs-hf-oss"
          ]
        }
      }
    ],
    "lateDiscoveryBeforeFinalSelection": [
      "vercel",
      "thinking-machines",
      "bytedance-seed"
    ],
    "excludedAndUnresolved": [
      {
        "entityId": "inferact",
        "status": "qualified",
        "reason": "Engineering collaboration and current managed platform; material paying use is not established by vLLM popularity."
      },
      {
        "entityId": "radixark",
        "status": "qualified",
        "reason": "Current software platform; SGLang popularity is not equivalent to company paid serving activity."
      },
      {
        "entityId": "nebius",
        "status": "qualified",
        "reason": "Token Factory is a material candidate; canonical Infrastructure review owns current commercial and revenue evidence. No cloud revenue is substituted for inference."
      },
      {
        "entityId": "lambda",
        "status": "qualified",
        "reason": "Inference-capable cloud is a material candidate; Infrastructure review owns current evidence. GPU rentals are not automatically managed model-serving revenue."
      },
      {
        "entityId": "nvidia",
        "status": "qualified",
        "reason": "Released Nemotron families and named customer customization support current supply; GPU revenue and model benchmarks are excluded."
      },
      {
        "entityId": "thinking-machines",
        "status": "qualified",
        "reason": "It connects open-weight model supply with enterprise customization and serving. Named deployments support commercial activity; reported revenue run rates remain unaudited and are not interchangeable with annual recognized revenue."
      },
      {
        "entityId": "bytedance-seed",
        "status": "qualified",
        "reason": "Seed connects model development with large consumer products and external creative and enterprise workflows. That distribution makes it relevant to the value chain; standalone model revenue and paid adoption are not disclosed sufficiently for a precise size ranking."
      }
    ],
    "aliasReconciliation": {
      "google-deepmind": "alphabet",
      "microsoft-ai": "microsoft",
      "amazon-agi": "amazon",
      "alibaba-qwen": "alibaba",
      "nvidia-nemotron": "nvidia",
      "cerebras-inference": "cerebras",
      "alibaba-model-studio": "alibaba",
      "amazon-bedrock": "amazon",
      "microsoft-foundry": "microsoft",
      "google-vertex-gemini-api": "alphabet",
      "nebius-token-factory": "nebius",
      "replicate": "cloudflare-workers-ai"
    }
  },
  "parameters": {
    "maxCompanies": 10,
    "score": null,
    "weights": null,
    "normalization": null,
    "marketDenominator": null,
    "marketCoverageTarget": null,
    "functionCoverageRule": "For every required function j: sum_i x_i * I(company i currently supplies function j) >= 1; sum_i x_i <= 10.",
    "meaning": "Function incidence is a source-supported yes/no classification. It counts representation, not relative economic importance, market share or coverage percentage.",
    "selectionRule": "Choose current material suppliers using the raw evidence within roles, retain all required functions, and disclose interchangeable cutoff alternatives. The evidence does not identify a unique economic Top 10, so these are unranked representatives.",
    "editorialChoices": "The ten-name limit, scope, required functions and preferred set are explicit editorial choices. No arbitrary numeric weight is presented as scientific measurement.",
    "missingTreatment": "No mean, zero, funding, market-cap or parent-revenue imputation. Unknown candidate activity is retained and challenged through explicit alternative sets.",
    "doubleCounting": "Revenue, run rate, usage, capacity and market share are alternative views, not additive rewards. Same parent/controlled unit appears once within this sublayer."
  },
  "rawObservations": [
    {
      "entityId": "alibaba",
      "measure": "AI Cloud and Compute Services revenue",
      "value": "RMB48,437 million (+45% year over year; external-customer revenue also +45%)",
      "unit": "RMB",
      "economicPeriod": "Quarter ended 2026-06-30",
      "asOf": "2026-06-30",
      "boundary": "June quarter 2026 results, AI Cloud and Compute Services",
      "evidence": "filing",
      "sourceIds": [
        "alibaba:b-june-issuer"
      ],
      "comparisonUse": "Role-specific descriptive observation; assess definition and period before comparison",
      "packetSha256": "e30066ded34b2dd5ac05a7c11431a78fabc86a8d43eb047a52854ed1d99469c7",
      "packetField": "keyMetrics",
      "sourceReviewFile": "models/reviews/alibaba.json"
    },
    {
      "entityId": "alibaba",
      "measure": "AI-related product revenue",
      "value": "RMB12,376 million; twelfth straight quarter of triple-digit year-over-year growth",
      "unit": "RMB",
      "economicPeriod": "Quarter ended 2026-06-30",
      "asOf": "2026-06-30",
      "boundary": "June quarter 2026 results, AI Cloud and Compute Services",
      "evidence": "filing",
      "sourceIds": [
        "alibaba:b-june-issuer"
      ],
      "comparisonUse": "Role-specific descriptive observation; assess definition and period before comparison",
      "packetSha256": "e30066ded34b2dd5ac05a7c11431a78fabc86a8d43eb047a52854ed1d99469c7",
      "packetField": "keyMetrics",
      "sourceReviewFile": "models/reviews/alibaba.json"
    },
    {
      "entityId": "alibaba",
      "measure": "Capital expenditures",
      "value": "RMB67,678 million in the quarter (+75% year over year); RMB126,063 million in fiscal 2026",
      "unit": "RMB",
      "economicPeriod": "Quarter ended 2026-06-30; FY2026 (year ended 2026-03-31)",
      "asOf": "2026-06-30",
      "boundary": "June quarter 2026 results, Capital Expenditures; Form 20-F FY2026, Item 5.B",
      "evidence": "filing",
      "sourceIds": [
        "alibaba:b-june-issuer",
        "alibaba:sec-20f-fy2026"
      ],
      "comparisonUse": "Excluded from current-activity comparison: financing, group economics, cost, proposed capacity or technical specification; no importance score.",
      "packetSha256": "e30066ded34b2dd5ac05a7c11431a78fabc86a8d43eb047a52854ed1d99469c7",
      "packetField": "keyMetrics",
      "sourceReviewFile": "models/reviews/alibaba.json"
    },
    {
      "entityId": "alibaba",
      "measure": "Free cash flow (non-GAAP)",
      "value": "Outflow of RMB44,670 million (vs. outflow of RMB18,815 million a year earlier), attributed mainly to cloud infrastructure spending",
      "unit": "RMB",
      "economicPeriod": "Quarter ended 2026-06-30",
      "asOf": "2026-06-30",
      "boundary": "June quarter 2026 results, Business Highlights",
      "evidence": "filing",
      "sourceIds": [
        "alibaba:b-june-issuer"
      ],
      "comparisonUse": "Excluded from current-activity comparison: financing, group economics, cost, proposed capacity or technical specification; no importance score.",
      "packetSha256": "e30066ded34b2dd5ac05a7c11431a78fabc86a8d43eb047a52854ed1d99469c7",
      "packetField": "keyMetrics",
      "sourceReviewFile": "models/reviews/alibaba.json"
    },
    {
      "entityId": "alibaba",
      "measure": "AI Labs and Applications adjusted EBITA",
      "value": "Loss of RMB13,861 million (vs. loss of RMB3,224 million a year earlier), driven by model investment and Qwen app inference costs",
      "unit": "RMB",
      "economicPeriod": "Quarter ended 2026-06-30",
      "asOf": "2026-06-30",
      "boundary": "June quarter 2026 results, Segment adjusted EBITA",
      "evidence": "filing",
      "sourceIds": [
        "alibaba:b-june-issuer"
      ],
      "comparisonUse": "Role-specific descriptive observation; assess definition and period before comparison",
      "packetSha256": "e30066ded34b2dd5ac05a7c11431a78fabc86a8d43eb047a52854ed1d99469c7",
      "packetField": "keyMetrics",
      "sourceReviewFile": "models/reviews/alibaba.json"
    },
    {
      "entityId": "alibaba",
      "measure": "Share of China AI cloud market",
      "value": "38.1% (ranked first), per Omdia 'AI Cloud Market: China – 2025' as cited by Alibaba",
      "unit": "% of market",
      "economicPeriod": "CY2025",
      "asOf": "2026-08-20",
      "boundary": "June quarter 2026 results, Cloud",
      "evidence": "company_stated",
      "sourceIds": [
        "alibaba:b-june-issuer"
      ],
      "comparisonUse": "Role-specific descriptive observation; assess definition and period before comparison",
      "packetSha256": "e30066ded34b2dd5ac05a7c11431a78fabc86a8d43eb047a52854ed1d99469c7",
      "packetField": "keyMetrics",
      "sourceReviewFile": "models/reviews/alibaba.json"
    },
    {
      "entityId": "alibaba",
      "measure": "Global data-center capacity target",
      "value": "More than 20 GW operated by Alibaba Cloud by 2032 (management target)",
      "unit": "GW",
      "economicPeriod": "Target year 2032",
      "asOf": "2026-09-22",
      "boundary": "Alibaba Cloud release 2026-09-22, Eddie Wu keynote",
      "evidence": "company_stated",
      "sourceIds": [
        "alibaba:acloud-roadmap-2026"
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      "comparisonUse": "Role-specific descriptive observation; assess definition and period before comparison",
      "packetSha256": "e30066ded34b2dd5ac05a7c11431a78fabc86a8d43eb047a52854ed1d99469c7",
      "packetField": "keyMetrics",
      "sourceReviewFile": "models/reviews/alibaba.json"
    },
    {
      "entityId": "alibaba",
      "measure": "Employees",
      "value": "132,165",
      "unit": "people",
      "economicPeriod": "As of 2026-06-30",
      "asOf": "2026-06-30",
      "boundary": "June quarter 2026 results, Employees",
      "evidence": "filing",
      "sourceIds": [
        "alibaba:b-june-issuer"
      ],
      "comparisonUse": "Excluded from current-activity comparison: financing, group economics, cost, proposed capacity or technical specification; no importance score.",
      "packetSha256": "e30066ded34b2dd5ac05a7c11431a78fabc86a8d43eb047a52854ed1d99469c7",
      "packetField": "keyMetrics",
      "sourceReviewFile": "models/reviews/alibaba.json"
    },
    {
      "entityId": "alibaba",
      "measure": "AI Labs and Applications revenue",
      "value": "3338",
      "unit": "RMB million; models and applications combined",
      "economicPeriod": "Quarter ended June 2026",
      "asOf": "2026-06-30",
      "boundary": "Segment table, page 6; before group intersegment elimination",
      "evidence": "filing",
      "sourceIds": [
        "alibaba:b-june-issuer"
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      "comparisonUse": "Role-specific descriptive observation; assess definition and period before comparison",
      "packetSha256": "e30066ded34b2dd5ac05a7c11431a78fabc86a8d43eb047a52854ed1d99469c7",
      "packetField": "keyMetrics",
      "sourceReviewFile": "models/reviews/alibaba.json"
    },
    {
      "entityId": "alibaba",
      "measure": "QwenWork first-month users",
      "value": "more than 30 million",
      "unit": "users; paid/free mix undisclosed",
      "economicPeriod": "First month after August 2026 launch",
      "asOf": "2026-10-14",
      "boundary": "The unit and period retain the disclosed scope; no AI-only share, active-paying denominator or global market share is inferred.",
      "evidence": "company_stated",
      "sourceIds": [
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      "comparisonUse": "Role-specific descriptive observation; assess definition and period before comparison",
      "packetSha256": "e30066ded34b2dd5ac05a7c11431a78fabc86a8d43eb047a52854ed1d99469c7",
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    {
      "entityId": "alibaba",
      "measure": "Completed equity placement",
      "value": "710 million shares at HK$112.70",
      "unit": "HKD; approximately 80 billion gross proceeds",
      "economicPeriod": "August 2026",
      "asOf": "2026-08-26",
      "boundary": "The unit and period retain the disclosed scope; no AI-only share, active-paying denominator or global market share is inferred.",
      "evidence": "company_stated",
      "sourceIds": [
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      "comparisonUse": "Role-specific descriptive observation; assess definition and period before comparison",
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      "sourceReviewFile": "models/reviews/alibaba.json"
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      "entityId": "alphabet",
      "measure": "Google Cloud revenue and operating income",
      "value": "$24.8 billion revenue (+82% YoY); $8.8 billion operating income",
      "unit": "USD",
      "economicPeriod": "Q2 2026 (quarter)",
      "asOf": "2026-06-30",
      "boundary": "Q2 2026 earnings release — segment results",
      "evidence": "filing",
      "sourceIds": [
        "alphabet:a-q2-issuer"
      ],
      "comparisonUse": "Role-specific descriptive observation; assess definition and period before comparison",
      "packetSha256": "e48a9db94887bc510016797fc38a10c94630a9001284f90a33ea4995815f27a1",
      "packetField": "keyMetrics",
      "sourceReviewFile": "models/reviews/alphabet.json"
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    {
      "entityId": "alphabet",
      "measure": "Capital expenditures (purchases of property and equipment)",
      "value": "$44.9 billion in Q2 2026; $91.4 billion in FY2025",
      "unit": "USD",
      "economicPeriod": "Q2 2026 (quarter); FY2025 (annual)",
      "asOf": "2026-06-30",
      "boundary": "Cash-flow statements",
      "evidence": "filing",
      "sourceIds": [
        "alphabet:a-q2-issuer",
        "alphabet:a-10k"
      ],
      "comparisonUse": "Excluded from current-activity comparison: financing, group economics, cost, proposed capacity or technical specification; no importance score.",
      "packetSha256": "e48a9db94887bc510016797fc38a10c94630a9001284f90a33ea4995815f27a1",
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      "sourceReviewFile": "models/reviews/alphabet.json"
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    {
      "entityId": "alphabet",
      "measure": "Gemini app monthly active users",
      "value": "950 million",
      "unit": "users",
      "economicPeriod": "Q2 2026",
      "asOf": "2026-07-22",
      "boundary": "CEO remarks, Q2 2026",
      "evidence": "company_stated",
      "sourceIds": [
        "alphabet:a-q2-issuer",
        "alphabet:a-q2remarks"
      ],
      "comparisonUse": "Role-specific descriptive observation; assess definition and period before comparison",
      "packetSha256": "e48a9db94887bc510016797fc38a10c94630a9001284f90a33ea4995815f27a1",
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      "sourceReviewFile": "models/reviews/alphabet.json"
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    {
      "entityId": "alphabet",
      "measure": "Gemini direct-API token throughput",
      "value": "About 22 billion tokens per minute (up from 16 billion the prior quarter)",
      "unit": "tokens per minute",
      "economicPeriod": "Q2 2026",
      "asOf": "2026-07-22",
      "boundary": "CEO remarks, Q2 2026",
      "evidence": "company_stated",
      "sourceIds": [
        "alphabet:a-q2remarks",
        "alphabet:a-q1pr"
      ],
      "comparisonUse": "Role-specific descriptive observation; assess definition and period before comparison",
      "packetSha256": "e48a9db94887bc510016797fc38a10c94630a9001284f90a33ea4995815f27a1",
      "packetField": "keyMetrics",
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    },
    {
      "entityId": "alphabet",
      "measure": "Employees",
      "value": "198,933",
      "unit": "employees",
      "economicPeriod": "Point in time",
      "asOf": "2026-06-30",
      "boundary": "Q2 2026 earnings release",
      "evidence": "filing",
      "sourceIds": [
        "alphabet:a-q2-issuer"
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      "comparisonUse": "Excluded from current-activity comparison: financing, group economics, cost, proposed capacity or technical specification; no importance score.",
      "packetSha256": "e48a9db94887bc510016797fc38a10c94630a9001284f90a33ea4995815f27a1",
      "packetField": "keyMetrics",
      "sourceReviewFile": "models/reviews/alphabet.json"
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    {
      "entityId": "alphabet",
      "measure": "Cloud backlog",
      "value": "approximately 514 billion",
      "unit": "USD; unrecognized contractual commitments",
      "economicPeriod": "June 2026",
      "asOf": "2026-06-30",
      "boundary": "CEO remarks; rounded Cloud-only figure, not recognized revenue",
      "evidence": "company_stated",
      "sourceIds": [
        "alphabet:a-q2remarks"
      ],
      "comparisonUse": "Excluded from current-activity comparison: financing, group economics, cost, proposed capacity or technical specification; no importance score.",
      "packetSha256": "e48a9db94887bc510016797fc38a10c94630a9001284f90a33ea4995815f27a1",
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    {
      "entityId": "alphabet",
      "measure": "Gemma downloads",
      "value": "more than 900 million",
      "unit": "cumulative model downloads; not unique users",
      "economicPeriod": "July 2026",
      "asOf": "2026-07-22",
      "boundary": "The unit and period retain the disclosed scope; no AI-only share, active-paying denominator or global market share is inferred.",
      "evidence": "company_stated",
      "sourceIds": [
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      ],
      "comparisonUse": "Role-specific descriptive observation; assess definition and period before comparison",
      "packetSha256": "e48a9db94887bc510016797fc38a10c94630a9001284f90a33ea4995815f27a1",
      "packetField": "keyMetrics",
      "sourceReviewFile": "models/reviews/alphabet.json"
    },
    {
      "entityId": "alphabet",
      "measure": "Cloud customers above annual token threshold",
      "value": "nearly 500",
      "unit": "customers processing over 1 trillion tokens each over preceding year",
      "economicPeriod": "Trailing year reported July 2026",
      "asOf": "2026-07-22",
      "boundary": "The unit and period retain the disclosed scope; no AI-only share, active-paying denominator or global market share is inferred.",
      "evidence": "company_stated",
      "sourceIds": [
        "alphabet:a-q2remarks"
      ],
      "comparisonUse": "Excluded from current-activity comparison: financing, group economics, cost, proposed capacity or technical specification; no importance score.",
      "packetSha256": "e48a9db94887bc510016797fc38a10c94630a9001284f90a33ea4995815f27a1",
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      "sourceReviewFile": "models/reviews/alphabet.json"
    },
    {
      "entityId": "alphabet",
      "measure": "Antigravity weekly active users",
      "value": "more than 2.4 million",
      "unit": "users; free/paid mix undisclosed",
      "economicPeriod": "July 2026",
      "asOf": "2026-07-22",
      "boundary": "The unit and period retain the disclosed scope; no AI-only share, active-paying denominator or global market share is inferred.",
      "evidence": "company_stated",
      "sourceIds": [
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      ],
      "comparisonUse": "Role-specific descriptive observation; assess definition and period before comparison",
      "packetSha256": "e48a9db94887bc510016797fc38a10c94630a9001284f90a33ea4995815f27a1",
      "packetField": "keyMetrics",
      "sourceReviewFile": "models/reviews/alphabet.json"
    },
    {
      "entityId": "baseten",
      "measure": "Revenue growth",
      "value": "20x",
      "unit": "year over year; absolute revenue undisclosed",
      "economicPeriod": "Year to June 2026",
      "asOf": "2026-06-22",
      "boundary": "The unit and period retain the disclosed scope; no AI-only share, active-paying denominator or global market share is inferred.",
      "evidence": "company_stated",
      "sourceIds": [
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      ],
      "comparisonUse": "Role-specific descriptive observation; assess definition and period before comparison",
      "packetSha256": "8b20ef1c24712c7710f7a0cb132ac12445de6b6a886d0bf48b00ef8baa5f2af2",
      "packetField": "keyMetrics",
      "sourceReviewFile": "models/reviews/baseten.json"
    },
    {
      "entityId": "baseten",
      "measure": "Inference-volume growth",
      "value": "40x",
      "unit": "year over year; unit and baseline undisclosed",
      "economicPeriod": "Year to June 2026",
      "asOf": "2026-06-22",
      "boundary": "The unit and period retain the disclosed scope; no AI-only share, active-paying denominator or global market share is inferred.",
      "evidence": "company_stated",
      "sourceIds": [
        "baseten:bt-seriesf"
      ],
      "comparisonUse": "Role-specific descriptive observation; assess definition and period before comparison",
      "packetSha256": "8b20ef1c24712c7710f7a0cb132ac12445de6b6a886d0bf48b00ef8baa5f2af2",
      "packetField": "keyMetrics",
      "sourceReviewFile": "models/reviews/baseten.json"
    },
    {
      "entityId": "baseten",
      "measure": "Operating footprint",
      "value": "More than 90 clusters across 20+ clouds",
      "unit": "clusters and cloud providers; no GPU-equivalent capacity",
      "economicPeriod": "September 2026",
      "asOf": "2026-09-29",
      "boundary": "The unit and period retain the disclosed scope; no AI-only share, active-paying denominator or global market share is inferred.",
      "evidence": "company_stated",
      "sourceIds": [
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      "comparisonUse": "Role-specific descriptive observation; assess definition and period before comparison",
      "packetSha256": "8b20ef1c24712c7710f7a0cb132ac12445de6b6a886d0bf48b00ef8baa5f2af2",
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    {
      "entityId": "bytedance-seed",
      "measure": "Doubao daily active users",
      "value": "more than 200 million",
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      "url": "https://techcrunch.com/2026/03/10/thinking-machines-lab-inks-massive-compute-deal-with-nvidia/",
      "title": "Thinking Machines Lab inks massive compute deal with Nvidia",
      "publisher": "TechCrunch",
      "publishedDate": "2026-03-10",
      "accessedDate": "2026-10-03",
      "type": "media"
    },
    "thinking-machines:tm-tc-0511": {
      "url": "https://techcrunch.com/2026/05/11/thinking-machines-wants-to-build-an-ai-that-actually-listens-while-it-talks/",
      "title": "Thinking Machines wants to build an AI that actually listens while it talks",
      "publisher": "TechCrunch",
      "publishedDate": "2026-05-11",
      "accessedDate": "2026-10-03",
      "type": "media"
    },
    "thinking-machines:tm-tc-0715": {
      "url": "https://techcrunch.com/2026/07/15/thinking-machines-amps-up-its-bet-against-one-size-fits-all-ai-with-its-first-open-model-inkling/",
      "title": "Thinking Machines amps up its bet against one-size-fits-all AI with its first open model, Inkling",
      "publisher": "TechCrunch",
      "publishedDate": "2026-07-15",
      "accessedDate": "2026-10-03",
      "type": "media"
    },
    "thinking-machines:tm-tc-0827": {
      "url": "https://techcrunch.com/2026/08/27/barret-zoph-the-thinking-machines-co-founder-who-defected-to-openai-is-now-at-google/",
      "title": "Barret Zoph, the Thinking Machines co-founder who defected to OpenAI, is now at Google",
      "publisher": "TechCrunch",
      "publishedDate": "2026-08-27",
      "accessedDate": "2026-10-03",
      "type": "media"
    },
    "thinking-machines:tm-wiki": {
      "url": "https://en.wikipedia.org/wiki/Thinking_Machines_Lab",
      "title": "Thinking Machines Lab (background)",
      "publisher": "Wikipedia",
      "publishedDate": null,
      "accessedDate": "2026-10-03",
      "type": "other"
    },
    "thinking-machines:tm-cto": {
      "url": "https://techcrunch.com/2026/01/14/mira-muratis-startup-thinking-machines-lab-is-losing-two-of-its-co-founders-to-openai/",
      "title": "Thinking Machines leadership changes",
      "publisher": "TechCrunch",
      "publishedDate": "2026-01-14",
      "accessedDate": "2026-10-20",
      "type": "media"
    },
    "thinking-machines:tm-interaction": {
      "url": "https://thinkingmachines.ai/blog/interaction-models/",
      "title": "Interaction Models: A Scalable Approach to Human-AI Collaboration",
      "publisher": "Thinking Machines Lab",
      "publishedDate": "2026-05-11",
      "accessedDate": "2026-10-20",
      "type": "company"
    },
    "together-ai:tg-bw-seriesc": {
      "url": "https://finance.yahoo.com/technology/ai/articles/together-ai-raises-800-million-130000463.html",
      "title": "Together AI Raises $800 Million at $8.3 Billion Valuation to Make Frontier AI Accessible to All",
      "publisher": "Business Wire via Yahoo Finance",
      "publishedDate": "2026-07-01",
      "accessedDate": "2026-10-03",
      "type": "press_release"
    },
    "together-ai:tg-about": {
      "url": "https://www.together.ai/about-us",
      "title": "About Together AI — team and partners",
      "publisher": "Together AI",
      "publishedDate": null,
      "accessedDate": "2026-10-20",
      "type": "company"
    },
    "together-ai:tg-home": {
      "url": "https://www.together.ai/",
      "title": "Together AI — homepage (product lines and customers)",
      "publisher": "Together AI",
      "publishedDate": null,
      "accessedDate": "2026-10-03",
      "type": "company"
    },
    "together-ai:tg-blog": {
      "url": "https://www.together.ai/blog",
      "title": "Together AI blog index",
      "publisher": "Together AI",
      "publishedDate": null,
      "accessedDate": "2026-10-03",
      "type": "company"
    },
    "together-ai:tg-kai-mak": {
      "url": "https://www.together.ai/blog/together-ai-welcomes-kai-mak",
      "title": "Together AI welcomes Kai Mak as CRO to accelerate gen AI adoption for AI natives and enterprises globally",
      "publisher": "Together AI",
      "publishedDate": "2024-09-10",
      "accessedDate": "2026-10-03",
      "type": "company"
    },
    "together-ai:tg-tri-dao": {
      "url": "https://www.together.ai/blog/tri-dao-flash-attention",
      "title": "Introducing Together AI Chief Scientist Tri Dao, as he releases FlashAttention-2 to speed up model training and inference",
      "publisher": "Together AI",
      "publishedDate": "2023-07-17",
      "accessedDate": "2026-10-03",
      "type": "company"
    },
    "together-ai:tg-seriesb": {
      "url": "https://www.together.ai/blog/together-ai-announcing-305m-series-b",
      "title": "Together AI Announces $305M Series B to Scale AI Acceleration Cloud for Open Source and Enterprise AI",
      "publisher": "Together AI",
      "publishedDate": "2025-02-20",
      "accessedDate": "2026-10-03",
      "type": "company"
    },
    "together-ai:tg-seriesa2": {
      "url": "https://www.together.ai/blog/series-a2",
      "title": "Announcing $106M round led by Salesforce Ventures",
      "publisher": "Together AI",
      "publishedDate": "2024-03-13",
      "accessedDate": "2026-10-03",
      "type": "company"
    },
    "together-ai:tg-seed": {
      "url": "https://www.together.ai/blog/seed-funding",
      "title": "Together’s $20M seed funding to build open-source AI and cloud platform",
      "publisher": "Together AI",
      "publishedDate": "2023-05-15",
      "accessedDate": "2026-10-03",
      "type": "company"
    },
    "together-ai:tg-meta": {
      "url": "https://www.together.ai/blog/together-ai-and-meta-partner-to-bring-pytorch-reinforcement-learning-to-the-ai-native-cloud",
      "title": "Together AI and Meta partner to bring PyTorch Reinforcement Learning to the AI Native Cloud",
      "publisher": "Together AI",
      "publishedDate": "2025-12-03",
      "accessedDate": "2026-10-20",
      "type": "company"
    },
    "together-ai:wiki-vipul": {
      "url": "https://en.wikipedia.org/wiki/Vipul_Ved_Prakash",
      "title": "Vipul Ved Prakash",
      "publisher": "Wikipedia",
      "publishedDate": null,
      "accessedDate": "2026-10-03",
      "type": "other"
    },
    "together-ai:bt-current": {
      "url": "https://www.baseten.co/about-us/",
      "title": "Baseten platform",
      "publisher": "Baseten",
      "publishedDate": null,
      "accessedDate": "2026-10-20",
      "type": "company"
    },
    "together-ai:fw-current": {
      "url": "https://fireworks.ai/",
      "title": "Fireworks platform",
      "publisher": "Fireworks AI",
      "publishedDate": null,
      "accessedDate": "2026-10-20",
      "type": "company"
    }
  },
  "calculations": [
    {
      "name": "Cerebras trailing cloud-service revenue",
      "formula": "151.551 + 208.804 - 62.865",
      "value": 297.49,
      "unit": "USD million",
      "period": "TTM June 2026",
      "sourceIds": [
        "cerebras:cb-q2-ir",
        "cerebras:cb-q2-ir",
        "cerebras:cb-424b4",
        "cerebras:cb-q2-ir"
      ],
      "boundary": "Cloud services recognized revenue; hardware sales excluded."
    }
  ],
  "baselineComparisons": [
    {
      "name": "Relevant recognized revenue",
      "result": "Cerebras cloud is separately measurable; most competitors lack a harmonized current recognized inference figure.",
      "reason": "Fireworks and Modal run rates, Together bookings, OpenRouter gross processing, HF whole-platform ARR and hyperscaler cloud totals cannot be ranked as equivalent revenue."
    },
    {
      "name": "Capacity/usage baseline",
      "result": "No global common denominator.",
      "reason": "Tokens vary by model and modality, GPU counts omit utilization, committed MW can be future and serverless activity includes training/sandboxes. Provider-specific throughput remains evidence, not market coverage."
    }
  ],
  "selectedIds": [
    "amazon",
    "microsoft",
    "alphabet",
    "alibaba",
    "fireworks-ai",
    "together-ai",
    "fal",
    "openrouter",
    "modal",
    "cerebras"
  ],
  "selectedReasons": {
    "amazon": "Bedrock is a current managed multimodel service with actual customer deployment; entire AWS revenue is not assigned to inference.",
    "microsoft": "Foundry provides current external multimodel hosting and routing; Azure revenue is not a serving market share.",
    "alphabet": "Current Gemini enterprise platform and direct API usage establish commercial model serving; Google Cloud revenue includes many other products.",
    "alibaba": "Model Studio and current enterprise deployment evidence represent a large distinct serving ecosystem; AI cloud revenue is broader than inference.",
    "fireworks-ai": "Disclosed current token throughput and specialized-model serving support substantial independent inference activity.",
    "together-ai": "Commercial model/post-training serving and named model-provider distribution; bookings and committed compute are not current revenue.",
    "fal": "Specialized multimodal serving with current commercial models and customer cases; rumored revenue is excluded.",
    "openrouter": "Multi-provider routing is a distinct role; gross model spend and net platform fees are not conflated.",
    "modal": "Serverless custom execution supports deployed AI workloads; sandbox revenue cannot be treated as inference-only sales.",
    "cerebras": "Recognized cloud-service revenue and current wafer-scale inference support the specialized-hardware function. The inference unit is consolidated with its parent."
  },
  "functionCoverage": {
    "managed-multimodel": [
      "amazon",
      "microsoft",
      "alphabet",
      "alibaba",
      "fireworks-ai",
      "together-ai"
    ],
    "integrated-enterprise-cloud": [
      "amazon",
      "microsoft",
      "alphabet",
      "alibaba"
    ],
    "custom-model-serving": [
      "fireworks-ai",
      "together-ai",
      "modal"
    ],
    "multimodal-serving": [
      "fal"
    ],
    "routing-gateway": [
      "openrouter"
    ],
    "serverless-custom-runtime": [
      "modal"
    ],
    "specialized-hardware-serving": [
      "cerebras"
    ]
  },
  "alternativeCutoffSets": [
    {
      "name": "Custom serving emphasis",
      "remove": [
        "together-ai"
      ],
      "add": [
        "baseten"
      ],
      "assumption": "Custom production deployment and broad cloud footprint justify another independent representative.",
      "selectedIds": [
        "amazon",
        "microsoft",
        "alphabet",
        "alibaba",
        "fireworks-ai",
        "fal",
        "openrouter",
        "modal",
        "cerebras",
        "baseten"
      ],
      "requiredFunctions": [
        "managed-multimodel",
        "integrated-enterprise-cloud",
        "custom-model-serving",
        "multimodal-serving",
        "routing-gateway",
        "serverless-custom-runtime",
        "specialized-hardware-serving"
      ],
      "functionCoverage": {
        "managed-multimodel": [
          "amazon",
          "microsoft",
          "alphabet",
          "alibaba",
          "fireworks-ai",
          "baseten"
        ],
        "integrated-enterprise-cloud": [
          "amazon",
          "microsoft",
          "alphabet",
          "alibaba"
        ],
        "custom-model-serving": [
          "fireworks-ai",
          "modal",
          "baseten"
        ],
        "multimodal-serving": [
          "fal"
        ],
        "routing-gateway": [
          "openrouter"
        ],
        "serverless-custom-runtime": [
          "modal"
        ],
        "specialized-hardware-serving": [
          "cerebras"
        ]
      },
      "allFunctionsCovered": true,
      "retained": 9,
      "jaccard": 0.8181818181818182,
      "conditionalEligibility": []
    },
    {
      "name": "Model hub emphasis",
      "remove": [
        "alibaba"
      ],
      "add": [
        "hugging-face"
      ],
      "assumption": "Reduce integrated-cloud representation to include the commercial model-hub endpoint function; no claim that HF is globally larger.",
      "selectedIds": [
        "amazon",
        "microsoft",
        "alphabet",
        "fireworks-ai",
        "together-ai",
        "fal",
        "openrouter",
        "modal",
        "cerebras",
        "hugging-face"
      ],
      "requiredFunctions": [
        "managed-multimodel",
        "integrated-enterprise-cloud",
        "custom-model-serving",
        "multimodal-serving",
        "routing-gateway",
        "serverless-custom-runtime",
        "specialized-hardware-serving"
      ],
      "functionCoverage": {
        "managed-multimodel": [
          "amazon",
          "microsoft",
          "alphabet",
          "fireworks-ai",
          "together-ai",
          "hugging-face"
        ],
        "integrated-enterprise-cloud": [
          "amazon",
          "microsoft",
          "alphabet"
        ],
        "custom-model-serving": [
          "fireworks-ai",
          "together-ai",
          "modal"
        ],
        "multimodal-serving": [
          "fal"
        ],
        "routing-gateway": [
          "openrouter",
          "hugging-face"
        ],
        "serverless-custom-runtime": [
          "modal"
        ],
        "specialized-hardware-serving": [
          "cerebras"
        ]
      },
      "allFunctionsCovered": true,
      "retained": 9,
      "jaccard": 0.8181818181818182,
      "conditionalEligibility": []
    },
    {
      "name": "Alternative specialized hardware",
      "remove": [
        "cerebras"
      ],
      "add": [
        "groq"
      ],
      "assumption": "Groq is an active service despite its licensing transaction; unknown current revenue does not establish inferior activity.",
      "selectedIds": [
        "amazon",
        "microsoft",
        "alphabet",
        "alibaba",
        "fireworks-ai",
        "together-ai",
        "fal",
        "openrouter",
        "modal",
        "groq"
      ],
      "requiredFunctions": [
        "managed-multimodel",
        "integrated-enterprise-cloud",
        "custom-model-serving",
        "multimodal-serving",
        "routing-gateway",
        "serverless-custom-runtime",
        "specialized-hardware-serving"
      ],
      "functionCoverage": {
        "managed-multimodel": [
          "amazon",
          "microsoft",
          "alphabet",
          "alibaba",
          "fireworks-ai",
          "together-ai"
        ],
        "integrated-enterprise-cloud": [
          "amazon",
          "microsoft",
          "alphabet",
          "alibaba"
        ],
        "custom-model-serving": [
          "fireworks-ai",
          "together-ai",
          "modal"
        ],
        "multimodal-serving": [
          "fal"
        ],
        "routing-gateway": [
          "openrouter"
        ],
        "serverless-custom-runtime": [
          "modal"
        ],
        "specialized-hardware-serving": [
          "groq"
        ]
      },
      "allFunctionsCovered": true,
      "retained": 9,
      "jaccard": 0.8181818181818182,
      "conditionalEligibility": []
    },
    {
      "name": "Edge platform emphasis",
      "remove": [
        "modal"
      ],
      "add": [
        "cloudflare-workers-ai"
      ],
      "assumption": "Serverless and multimodal edge deployment substitutes for custom runtime emphasis.",
      "selectedIds": [
        "amazon",
        "microsoft",
        "alphabet",
        "alibaba",
        "fireworks-ai",
        "together-ai",
        "fal",
        "openrouter",
        "cerebras",
        "cloudflare-workers-ai"
      ],
      "requiredFunctions": [
        "managed-multimodel",
        "integrated-enterprise-cloud",
        "custom-model-serving",
        "multimodal-serving",
        "routing-gateway",
        "serverless-custom-runtime",
        "specialized-hardware-serving"
      ],
      "functionCoverage": {
        "managed-multimodel": [
          "amazon",
          "microsoft",
          "alphabet",
          "alibaba",
          "fireworks-ai",
          "together-ai",
          "cloudflare-workers-ai"
        ],
        "integrated-enterprise-cloud": [
          "amazon",
          "microsoft",
          "alphabet",
          "alibaba"
        ],
        "custom-model-serving": [
          "fireworks-ai",
          "together-ai"
        ],
        "multimodal-serving": [
          "fal",
          "cloudflare-workers-ai"
        ],
        "routing-gateway": [
          "openrouter",
          "cloudflare-workers-ai"
        ],
        "serverless-custom-runtime": [
          "cloudflare-workers-ai"
        ],
        "specialized-hardware-serving": [
          "cerebras"
        ]
      },
      "allFunctionsCovered": true,
      "retained": 9,
      "jaccard": 0.8181818181818182,
      "conditionalEligibility": []
    },
    {
      "name": "Unknown independent scale",
      "remove": [
        "together-ai",
        "fireworks-ai"
      ],
      "add": [
        "deepinfra",
        "runpod"
      ],
      "assumption": "Stress-test missing private revenue; current commercial services remain candidates without point imputation.",
      "selectedIds": [
        "amazon",
        "microsoft",
        "alphabet",
        "alibaba",
        "fal",
        "openrouter",
        "modal",
        "cerebras",
        "deepinfra",
        "runpod"
      ],
      "requiredFunctions": [
        "managed-multimodel",
        "integrated-enterprise-cloud",
        "custom-model-serving",
        "multimodal-serving",
        "routing-gateway",
        "serverless-custom-runtime",
        "specialized-hardware-serving"
      ],
      "functionCoverage": {
        "managed-multimodel": [
          "amazon",
          "microsoft",
          "alphabet",
          "alibaba",
          "deepinfra"
        ],
        "integrated-enterprise-cloud": [
          "amazon",
          "microsoft",
          "alphabet",
          "alibaba"
        ],
        "custom-model-serving": [
          "modal"
        ],
        "multimodal-serving": [
          "fal"
        ],
        "routing-gateway": [
          "openrouter"
        ],
        "serverless-custom-runtime": [
          "modal",
          "runpod"
        ],
        "specialized-hardware-serving": [
          "cerebras"
        ]
      },
      "allFunctionsCovered": true,
      "retained": 8,
      "jaccard": 0.6666666666666666,
      "conditionalEligibility": []
    },
    {
      "name": "Routing distribution emphasis",
      "remove": [
        "openrouter"
      ],
      "add": [
        "vercel"
      ],
      "assumption": "Current production gateway activity supports another routing representative; traffic samples cannot identify a worldwide leader.",
      "selectedIds": [
        "amazon",
        "microsoft",
        "alphabet",
        "alibaba",
        "fireworks-ai",
        "together-ai",
        "fal",
        "modal",
        "cerebras",
        "vercel"
      ],
      "requiredFunctions": [
        "managed-multimodel",
        "integrated-enterprise-cloud",
        "custom-model-serving",
        "multimodal-serving",
        "routing-gateway",
        "serverless-custom-runtime",
        "specialized-hardware-serving"
      ],
      "functionCoverage": {
        "managed-multimodel": [
          "amazon",
          "microsoft",
          "alphabet",
          "alibaba",
          "fireworks-ai",
          "together-ai"
        ],
        "integrated-enterprise-cloud": [
          "amazon",
          "microsoft",
          "alphabet",
          "alibaba"
        ],
        "custom-model-serving": [
          "fireworks-ai",
          "together-ai",
          "modal"
        ],
        "multimodal-serving": [
          "fal"
        ],
        "routing-gateway": [
          "vercel"
        ],
        "serverless-custom-runtime": [
          "modal"
        ],
        "specialized-hardware-serving": [
          "cerebras"
        ]
      },
      "allFunctionsCovered": true,
      "retained": 9,
      "jaccard": 0.8181818181818182,
      "conditionalEligibility": []
    },
    {
      "name": "Provider-count emphasis",
      "remove": [
        "microsoft"
      ],
      "add": [
        "hugging-face"
      ],
      "assumption": "Give the model-hub function an explicit slot while retaining integrated-cloud representation.",
      "selectedIds": [
        "amazon",
        "alphabet",
        "alibaba",
        "fireworks-ai",
        "together-ai",
        "fal",
        "openrouter",
        "modal",
        "cerebras",
        "hugging-face"
      ],
      "requiredFunctions": [
        "managed-multimodel",
        "integrated-enterprise-cloud",
        "custom-model-serving",
        "multimodal-serving",
        "routing-gateway",
        "serverless-custom-runtime",
        "specialized-hardware-serving"
      ],
      "functionCoverage": {
        "managed-multimodel": [
          "amazon",
          "alphabet",
          "alibaba",
          "fireworks-ai",
          "together-ai",
          "hugging-face"
        ],
        "integrated-enterprise-cloud": [
          "amazon",
          "alphabet",
          "alibaba"
        ],
        "custom-model-serving": [
          "fireworks-ai",
          "together-ai",
          "modal"
        ],
        "multimodal-serving": [
          "fal"
        ],
        "routing-gateway": [
          "openrouter",
          "hugging-face"
        ],
        "serverless-custom-runtime": [
          "modal"
        ],
        "specialized-hardware-serving": [
          "cerebras"
        ]
      },
      "allFunctionsCovered": true,
      "retained": 9,
      "jaccard": 0.8181818181818182,
      "conditionalEligibility": []
    },
    {
      "name": "Independent platforms only",
      "remove": [
        "amazon",
        "microsoft",
        "alphabet",
        "alibaba"
      ],
      "add": [
        "baseten",
        "hugging-face",
        "groq",
        "cloudflare-workers-ai"
      ],
      "assumption": "Scope change: exclude integrated hyperscalers. This recreates much of the old specialist-only comparison, and deliberately relaxes the integrated-cloud requirement.",
      "selectedIds": [
        "fireworks-ai",
        "together-ai",
        "fal",
        "openrouter",
        "modal",
        "cerebras",
        "baseten",
        "hugging-face",
        "groq",
        "cloudflare-workers-ai"
      ],
      "requiredFunctions": [
        "managed-multimodel",
        "custom-model-serving",
        "multimodal-serving",
        "routing-gateway",
        "serverless-custom-runtime",
        "specialized-hardware-serving"
      ],
      "functionCoverage": {
        "managed-multimodel": [
          "fireworks-ai",
          "together-ai",
          "baseten",
          "hugging-face",
          "cloudflare-workers-ai"
        ],
        "custom-model-serving": [
          "fireworks-ai",
          "together-ai",
          "modal",
          "baseten"
        ],
        "multimodal-serving": [
          "fal",
          "cloudflare-workers-ai"
        ],
        "routing-gateway": [
          "openrouter",
          "hugging-face",
          "cloudflare-workers-ai"
        ],
        "serverless-custom-runtime": [
          "modal",
          "cloudflare-workers-ai"
        ],
        "specialized-hardware-serving": [
          "cerebras",
          "groq"
        ]
      },
      "allFunctionsCovered": true,
      "retained": 6,
      "jaccard": 0.42857142857142855,
      "conditionalEligibility": []
    }
  ],
  "sensitivity": {
    "stableWithinDeclaredScenarios": [
      "fal"
    ],
    "interpretation": "Membership frequencies are scenario descriptions, not calibrated probabilities. Chosen scenarios are neither exhaustive nor equally likely.",
    "weightTests": "No additive score is identified. Function emphasis and the number of places assigned to each type are varied explicitly through alternate feasible sets.",
    "estimateTests": "Remove external revenue estimates or treat reported lower bounds as unbounded above: precise ordinal financial ranks cease to be identifiable, but documented delivered functions persist. No invented uncertainty interval is sampled.",
    "missingDataTests": "Alternatives admit active private suppliers with missing current financials, instead of treating them as zeros or applying disclosure penalties.",
    "cutoffRule": "Where multiple current suppliers satisfy a role and comparable scale is unresolved, publish the selected representative with alternatives and uncertainty; never label position ten as uniquely proved.",
    "definitionTests": "Gateway token and modeled-spend comparisons, gross/net accounting, parent/unit scope and available-versus-planned products remain separate."
  },
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      "cloudflare-workers-ai"
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    "No complete public dataset supports a precise global economic ordering. The method deliberately returns a representative set where market shares are unavailable.",
    "Source statements may share an underlying disclosure; repeated publication is not independent corroboration.",
    "Private company financial definitions and current ownership can be incomplete; explicit unknowns limit precision.",
    "Current global coverage is a research judgment, not proof that every undisclosed supplier has been discovered."
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    "quarterly": "Reopen the candidate universe, reconcile ownership, compare like-for-like periods and recompute coverage and sensitivity.",
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      "Completed acquisition or divestiture",
      "Product exit or verified commercial launch",
      "Material correction or newly disclosed relevant activity",
      "Evidence that a selected supplier no longer performs the function"
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      "evidence": {
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        "status": "current",
        "evidence": "filing",
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    },
    {
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      "evidence": {
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        "status": "current",
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    {
      "entityId": "alibaba",
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        "status": "current",
        "evidence": "filing",
        "sourceIds": [
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    },
    {
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      "evidence": {
        "name": "Muyuan Group",
        "entityId": null,
        "detail": "Livestock producer building an intelligent swine-farming AI model with Alibaba Cloud on Qwen and Alibaba compute (feed nutrition, breeding, livestock management).",
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        "evidence": "company_stated",
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    },
    {
      "entityId": "alibaba",
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      "evidence": {
        "name": "Panasonic Digital",
        "entityId": null,
        "detail": "Panasonic Digital Shanghai uses Model Studio and Qwen for internal agents; a named executive describes the deployment. No contract revenue disclosed.",
        "status": "current",
        "evidence": "company_stated",
        "sourceIds": [
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    },
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      "entityId": "alibaba",
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      "evidence": {
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        "entityId": null,
        "detail": "Uses Qwen and third-party models through Model Studio for Tuanjie AI-Codely game-development workflows; no contract revenue disclosed.",
        "status": "current",
        "evidence": "company_stated",
        "sourceIds": [
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    },
    {
      "entityId": "alibaba",
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      "evidence": {
        "name": "Lion Parcel",
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    },
    {
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      "evidence": {
        "name": "Loomi Entertainment Group",
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        "detail": "Integrated Alibaba video models into its Imaginary production engine; further production expansion remains exploratory.",
        "status": "current",
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    {
      "entityId": "alibaba",
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      "evidence": {
        "name": "Liu Xianglong merchant case",
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        "detail": "Named footwear merchant used QwenWork; company case reports AI usage fees, not audited enterprise contract value.",
        "status": "current",
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        "name": "NVIDIA",
        "entityId": "nvidia",
        "detail": "The 20-F does not name chip suppliers. It discusses U.S. restrictions on NVIDIA's advanced computing chips and a September 2025 request by the Cyberspace Administration of China that Chinese technology companies halt purchases of certain chips; Alibaba Cloud says it orchestrates heterogeneous chip clusters alongside its own processors. A supplier relationship is inferred, not disclosed.",
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      "evidence": {
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        "detail": "Multi-year, non-exclusive collaboration announced January 12, 2026 under which Apple's next-generation foundation models were to be based on Gemini models and Google cloud technology. Apple said in June 2026 that its shipped models contain no Gemini models and were refined using Gemini outputs (see conflicts). Financial terms not disclosed.",
        "status": "current",
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        "status": "current",
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        "name": "BNP Paribas",
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    {
      "entityId": "alphabet",
      "relation": "suppliers",
      "evidence": {
        "name": "NVIDIA",
        "entityId": "nvidia",
        "detail": "Google Cloud offers GPUs alongside its own TPUs; the 10-K describes a range of accelerators including specialized GPUs, and Cloud Next 2026 materials reference Google Cloud's NVIDIA GPU portfolio.",
        "status": "current",
        "evidence": "company_stated",
        "sourceIds": [
          "alphabet:a-10k",
          "alphabet:a-next26"
        ],
        "locator": "10-K FY2025 Item 1 — technical infrastructure"
      },
      "packetSha256": "e48a9db94887bc510016797fc38a10c94630a9001284f90a33ea4995815f27a1",
      "selectionUse": "Role and delivery context only. Reciprocal supplier/customer descriptions are the same relationship, not independent measured activity."
    },
    {
      "entityId": "alphabet",
      "relation": "suppliers",
      "evidence": {
        "name": "NextEra Energy",
        "entityId": "nextera",
        "detail": "Agreement (October 27, 2025) under which Google enables the restart of the Duane Arnold Energy Center in Iowa, more than 600 MW of nuclear power expected online in early 2029, and pays for the plant's output.",
        "status": "announced",
        "evidence": "company_stated",
        "sourceIds": [
          "alphabet:a-nextera"
        ],
        "locator": "Keyword post, Oct 27, 2025"
      },
      "packetSha256": "e48a9db94887bc510016797fc38a10c94630a9001284f90a33ea4995815f27a1",
      "selectionUse": "Role and delivery context only. Reciprocal supplier/customer descriptions are the same relationship, not independent measured activity."
    },
    {
      "entityId": "alphabet",
      "relation": "suppliers",
      "evidence": {
        "name": "Planet Labs",
        "entityId": null,
        "detail": "Built the Project Suncatcher prototype satellite carrying TPUs, launched in October 2026 to test AI chips in orbit.",
        "status": "current",
        "evidence": "company_stated",
        "sourceIds": [
          "alphabet:a-suncatcher"
        ],
        "locator": "Keyword post, Oct 1, 2026"
      },
      "packetSha256": "e48a9db94887bc510016797fc38a10c94630a9001284f90a33ea4995815f27a1",
      "selectionUse": "Role and delivery context only. Reciprocal supplier/customer descriptions are the same relationship, not independent measured activity."
    },
    {
      "entityId": "alphabet",
      "relation": "partners",
      "evidence": {
        "name": "SpaceX",
        "entityId": "spacex",
        "detail": "Alphabet held SpaceX shares valued at $80.0 billion (subject to short-term sale restrictions) plus $14.1 billion (restricted through Q3 2027) at June 30, 2026, after SpaceX's 2026 listing; SpaceX also launched Google's Suncatcher prototype on its Transporter-18 rideshare. SpaceX now owns xAI and competes with Google in AI.",
        "status": "current",
        "evidence": "filing",
        "sourceIds": [
          "alphabet:a-10q",
          "alphabet:a-suncatcher"
        ],
        "locator": "Form 10-Q Q2 2026 — marketable and non-marketable equity securities"
      },
      "packetSha256": "e48a9db94887bc510016797fc38a10c94630a9001284f90a33ea4995815f27a1",
      "selectionUse": "Role and delivery context only. Reciprocal supplier/customer descriptions are the same relationship, not independent measured activity."
    },
    {
      "entityId": "alphabet",
      "relation": "partners",
      "evidence": {
        "name": "Anthropic (equity investment)",
        "entityId": "anthropic",
        "detail": "Google has been a minority investor in Anthropic since 2023 (press-reported commitments of up to $2 billion in 2023 and $1 billion more in 2025). Alphabet's filings do not name the holding or its size; a stake of roughly 14% is press-reported and unverified here.",
        "status": "current",
        "evidence": "reported",
        "sourceIds": [
          "alphabet:a-wiki-anthropic"
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        "locator": "Funding history"
      },
      "packetSha256": "e48a9db94887bc510016797fc38a10c94630a9001284f90a33ea4995815f27a1",
      "selectionUse": "Role and delivery context only. Reciprocal supplier/customer descriptions are the same relationship, not independent measured activity."
    },
    {
      "entityId": "alphabet",
      "relation": "partners",
      "evidence": {
        "name": "Blackstone",
        "entityId": null,
        "detail": "Joint venture announced May 19, 2026 to create a new TPU cloud: Blackstone makes an initial $5 billion equity commitment to bring about 500 MW online in 2027, with Google supplying TPUs, software and support.",
        "status": "announced",
        "evidence": "company_stated",
        "sourceIds": [
          "alphabet:a-blackstone"
        ],
        "locator": "Keyword post, May 19, 2026"
      },
      "packetSha256": "e48a9db94887bc510016797fc38a10c94630a9001284f90a33ea4995815f27a1",
      "selectionUse": "Role and delivery context only. Reciprocal supplier/customer descriptions are the same relationship, not independent measured activity."
    },
    {
      "entityId": "alphabet",
      "relation": "partners",
      "evidence": {
        "name": "Wiz (acquired)",
        "entityId": null,
        "detail": "Cloud-security company acquired for $32 billion; the deal closed March 11, 2026 and Wiz keeps its brand inside Google Cloud.",
        "status": "current",
        "evidence": "filing",
        "sourceIds": [
          "alphabet:a-10k",
          "alphabet:a-wiz"
        ],
        "locator": "10-K FY2025 Note on acquisitions; press release Mar 11, 2026"
      },
      "packetSha256": "e48a9db94887bc510016797fc38a10c94630a9001284f90a33ea4995815f27a1",
      "selectionUse": "Role and delivery context only. Reciprocal supplier/customer descriptions are the same relationship, not independent measured activity."
    },
    {
      "entityId": "baseten",
      "relation": "customers",
      "evidence": {
        "name": "Cursor",
        "entityId": "cursor",
        "detail": "Named production customer in the company’s Series F announcement; individual spend and share of workloads are undisclosed.",
        "status": "current",
        "evidence": "company_stated",
        "sourceIds": [
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      },
      "packetSha256": "8b20ef1c24712c7710f7a0cb132ac12445de6b6a886d0bf48b00ef8baa5f2af2",
      "selectionUse": "Role and delivery context only. Reciprocal supplier/customer descriptions are the same relationship, not independent measured activity."
    },
    {
      "entityId": "baseten",
      "relation": "customers",
      "evidence": {
        "name": "Notion",
        "entityId": "notion",
        "detail": "Named production customer in the company’s Series F announcement; individual spend and share of workloads are undisclosed.",
        "status": "current",
        "evidence": "company_stated",
        "sourceIds": [
          "baseten:bt-seriesf"
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      },
      "packetSha256": "8b20ef1c24712c7710f7a0cb132ac12445de6b6a886d0bf48b00ef8baa5f2af2",
      "selectionUse": "Role and delivery context only. Reciprocal supplier/customer descriptions are the same relationship, not independent measured activity."
    },
    {
      "entityId": "baseten",
      "relation": "customers",
      "evidence": {
        "name": "Lovable",
        "entityId": "lovable",
        "detail": "Named production customer in the company’s Series F announcement; individual spend and share of workloads are undisclosed.",
        "status": "current",
        "evidence": "company_stated",
        "sourceIds": [
          "baseten:bt-seriesf"
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      },
      "packetSha256": "8b20ef1c24712c7710f7a0cb132ac12445de6b6a886d0bf48b00ef8baa5f2af2",
      "selectionUse": "Role and delivery context only. Reciprocal supplier/customer descriptions are the same relationship, not independent measured activity."
    },
    {
      "entityId": "baseten",
      "relation": "customers",
      "evidence": {
        "name": "Harvey",
        "entityId": "harvey",
        "detail": "Named production customer in the company’s Series F announcement; individual spend and share of workloads are undisclosed.",
        "status": "current",
        "evidence": "company_stated",
        "sourceIds": [
          "baseten:bt-seriesf"
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      },
      "packetSha256": "8b20ef1c24712c7710f7a0cb132ac12445de6b6a886d0bf48b00ef8baa5f2af2",
      "selectionUse": "Role and delivery context only. Reciprocal supplier/customer descriptions are the same relationship, not independent measured activity."
    },
    {
      "entityId": "baseten",
      "relation": "customers",
      "evidence": {
        "name": "HubSpot",
        "entityId": "hubspot",
        "detail": "Named production customer in the company’s Series F announcement; individual spend and share of workloads are undisclosed.",
        "status": "current",
        "evidence": "company_stated",
        "sourceIds": [
          "baseten:bt-seriesf"
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      },
      "packetSha256": "8b20ef1c24712c7710f7a0cb132ac12445de6b6a886d0bf48b00ef8baa5f2af2",
      "selectionUse": "Role and delivery context only. Reciprocal supplier/customer descriptions are the same relationship, not independent measured activity."
    },
    {
      "entityId": "baseten",
      "relation": "customers",
      "evidence": {
        "name": "OpenEvidence",
        "entityId": "openevidence",
        "detail": "Named production customer in the company’s Series F announcement; individual spend and share of workloads are undisclosed.",
        "status": "current",
        "evidence": "company_stated",
        "sourceIds": [
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      },
      "packetSha256": "8b20ef1c24712c7710f7a0cb132ac12445de6b6a886d0bf48b00ef8baa5f2af2",
      "selectionUse": "Role and delivery context only. Reciprocal supplier/customer descriptions are the same relationship, not independent measured activity."
    },
    {
      "entityId": "baseten",
      "relation": "customers",
      "evidence": {
        "name": "Abridge",
        "entityId": "abridge",
        "detail": "Named production customer in the company’s Series F announcement; individual spend and share of workloads are undisclosed.",
        "status": "current",
        "evidence": "company_stated",
        "sourceIds": [
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      },
      "packetSha256": "8b20ef1c24712c7710f7a0cb132ac12445de6b6a886d0bf48b00ef8baa5f2af2",
      "selectionUse": "Role and delivery context only. Reciprocal supplier/customer descriptions are the same relationship, not independent measured activity."
    },
    {
      "entityId": "baseten",
      "relation": "customers",
      "evidence": {
        "name": "Decagon",
        "entityId": "decagon",
        "detail": "Named production customer in the company’s Series F announcement; individual spend and share of workloads are undisclosed.",
        "status": "current",
        "evidence": "company_stated",
        "sourceIds": [
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      },
      "packetSha256": "8b20ef1c24712c7710f7a0cb132ac12445de6b6a886d0bf48b00ef8baa5f2af2",
      "selectionUse": "Role and delivery context only. Reciprocal supplier/customer descriptions are the same relationship, not independent measured activity."
    },
    {
      "entityId": "baseten",
      "relation": "customers",
      "evidence": {
        "name": "Poolside, Subconscious, Trajectory and WRITER",
        "entityId": null,
        "detail": "Model Labs identifies these companies as using its gateway to distribute models. Model hosting is distinct from ownership of the underlying model.",
        "status": "current",
        "evidence": "company_stated",
        "sourceIds": [
          "baseten:bt-modellabs"
        ]
      },
      "packetSha256": "8b20ef1c24712c7710f7a0cb132ac12445de6b6a886d0bf48b00ef8baa5f2af2",
      "selectionUse": "Role and delivery context only. Reciprocal supplier/customer descriptions are the same relationship, not independent measured activity."
    },
    {
      "entityId": "baseten",
      "relation": "suppliers",
      "evidence": {
        "name": "Multiple compute providers",
        "entityId": null,
        "detail": "Baseten reports 90+ active clusters across 20+ clouds and relationships with 200+ compute providers. The relationship count is not the number of active clouds or a GPU-capacity measure.",
        "status": "current",
        "evidence": "company_stated",
        "sourceIds": [
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      },
      "packetSha256": "8b20ef1c24712c7710f7a0cb132ac12445de6b6a886d0bf48b00ef8baa5f2af2",
      "selectionUse": "Role and delivery context only. Reciprocal supplier/customer descriptions are the same relationship, not independent measured activity."
    },
    {
      "entityId": "baseten",
      "relation": "partners",
      "evidence": {
        "name": "OpenAI",
        "entityId": "openai",
        "detail": "Announced native access through Codex and the Responses API, with eligible enterprise commitments used for Baseten-served models. The announcement also links an access list; availability should be checked per account.",
        "status": "current",
        "evidence": "company_stated",
        "sourceIds": [
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        ]
      },
      "packetSha256": "8b20ef1c24712c7710f7a0cb132ac12445de6b6a886d0bf48b00ef8baa5f2af2",
      "selectionUse": "Role and delivery context only. Reciprocal supplier/customer descriptions are the same relationship, not independent measured activity."
    },
    {
      "entityId": "baseten",
      "relation": "partners",
      "evidence": {
        "name": "Reflection",
        "entityId": "reflection-ai",
        "detail": "Beam is offered through Model APIs and dedicated inference following its October release.",
        "status": "current",
        "evidence": "company_stated",
        "sourceIds": [
          "baseten:bt-beam"
        ]
      },
      "packetSha256": "8b20ef1c24712c7710f7a0cb132ac12445de6b6a886d0bf48b00ef8baa5f2af2",
      "selectionUse": "Role and delivery context only. Reciprocal supplier/customer descriptions are the same relationship, not independent measured activity."
    },
    {
      "entityId": "bytedance-seed",
      "relation": "customers",
      "evidence": {
        "name": "BytePlus and Volcano Engine model customers",
        "entityId": null,
        "detail": "Commercial model access is documented, but no auditable Seed-only customer count or concentration table is available.",
        "status": "current",
        "evidence": "company_stated",
        "sourceIds": [
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          "bytedance-seed:bs-billing"
        ]
      },
      "packetSha256": "0957dca9a94dc6d730a6b4f798d1d760ba2506888fe453d094b4b7179f34fbd9",
      "selectionUse": "Role and delivery context only. Reciprocal supplier/customer descriptions are the same relationship, not independent measured activity."
    },
    {
      "entityId": "bytedance-seed",
      "relation": "customers",
      "evidence": {
        "name": "ByteDance application teams",
        "entityId": null,
        "detail": "Doubao and creative products provide internal distribution; app users are not equated with independent paying API customers.",
        "status": "current",
        "evidence": "company_stated",
        "sourceIds": [
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          "bytedance-seed:bs-strategy26"
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      },
      "packetSha256": "0957dca9a94dc6d730a6b4f798d1d760ba2506888fe453d094b4b7179f34fbd9",
      "selectionUse": "Role and delivery context only. Reciprocal supplier/customer descriptions are the same relationship, not independent measured activity."
    },
    {
      "entityId": "bytedance-seed",
      "relation": "partners",
      "evidence": {
        "name": "BytePlus",
        "entityId": null,
        "detail": "ByteDance group commercial distribution channel. Current billing documentation includes Seedance 2.5 and other model families.",
        "status": "current",
        "evidence": "company_stated",
        "sourceIds": [
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      },
      "packetSha256": "0957dca9a94dc6d730a6b4f798d1d760ba2506888fe453d094b4b7179f34fbd9",
      "selectionUse": "Role and delivery context only. Reciprocal supplier/customer descriptions are the same relationship, not independent measured activity."
    },
    {
      "entityId": "bytedance-seed",
      "relation": "partners",
      "evidence": {
        "name": "Volcano Engine",
        "entityId": null,
        "detail": "Domestic group distribution channel for model services; do not count it as an independent model developer.",
        "status": "current",
        "evidence": "company_stated",
        "sourceIds": [
          "bytedance-seed:bs-seed21",
          "bytedance-seed:bs-strategy26"
        ]
      },
      "packetSha256": "0957dca9a94dc6d730a6b4f798d1d760ba2506888fe453d094b4b7179f34fbd9",
      "selectionUse": "Role and delivery context only. Reciprocal supplier/customer descriptions are the same relationship, not independent measured activity."
    },
    {
      "entityId": "cerebras",
      "relation": "customers",
      "evidence": {
        "name": "OpenAI",
        "entityId": "openai",
        "detail": "Existing cloud customer and August limited-preview model host; future capacity commitments are separate from current utilization.",
        "status": "current",
        "evidence": "company_stated",
        "sourceIds": [
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          "cerebras:cb-oai-ir"
        ]
      },
      "packetSha256": "47c9e12e03f5c9c0c8f9eff59afa081d80fa7668d504091ab7ce60368aa400f5",
      "selectionUse": "Role and delivery context only. Reciprocal supplier/customer descriptions are the same relationship, not independent measured activity."
    },
    {
      "entityId": "cerebras",
      "relation": "customers",
      "evidence": {
        "name": "Lovable",
        "entityId": null,
        "detail": "Agreement for selected latency-sensitive workloads on dedicated capacity; release leaves implementation and availability details to follow.",
        "status": "announced",
        "evidence": "company_stated",
        "sourceIds": [
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      },
      "packetSha256": "47c9e12e03f5c9c0c8f9eff59afa081d80fa7668d504091ab7ce60368aa400f5",
      "selectionUse": "Role and delivery context only. Reciprocal supplier/customer descriptions are the same relationship, not independent measured activity."
    },
    {
      "entityId": "cerebras",
      "relation": "customers",
      "evidence": {
        "name": "G42 and MBZUAI",
        "entityId": null,
        "detail": "FY2025 group customers represented 24% and 62% of parent revenue respectively. These historical parent shares are not current inference-only concentration.",
        "status": "historical",
        "evidence": "filing",
        "sourceIds": [
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      },
      "packetSha256": "47c9e12e03f5c9c0c8f9eff59afa081d80fa7668d504091ab7ce60368aa400f5",
      "selectionUse": "Role and delivery context only. Reciprocal supplier/customer descriptions are the same relationship, not independent measured activity."
    },
    {
      "entityId": "cerebras",
      "relation": "suppliers",
      "evidence": {
        "name": "TSMC",
        "entityId": "tsmc",
        "detail": "Sole foundry supplier disclosed in the prospectus; reliance on purchase orders creates continuity risk.",
        "status": "current",
        "evidence": "filing",
        "sourceIds": [
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      },
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      "selectionUse": "Role and delivery context only. Reciprocal supplier/customer descriptions are the same relationship, not independent measured activity."
    },
    {
      "entityId": "cerebras",
      "relation": "suppliers",
      "evidence": {
        "name": "Flex, Sanmina and Rocket EMS",
        "entityId": null,
        "detail": "Named manufacturing partners in the expansion program.",
        "status": "current",
        "evidence": "company_stated",
        "sourceIds": [
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      },
      "packetSha256": "47c9e12e03f5c9c0c8f9eff59afa081d80fa7668d504091ab7ce60368aa400f5",
      "selectionUse": "Role and delivery context only. Reciprocal supplier/customer descriptions are the same relationship, not independent measured activity."
    },
    {
      "entityId": "cerebras",
      "relation": "suppliers",
      "evidence": {
        "name": "Compute Nordic Finland",
        "entityId": null,
        "detail": "Contracted phased data-center services; not all capacity operational.",
        "status": "announced",
        "evidence": "company_stated",
        "sourceIds": [
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      },
      "packetSha256": "47c9e12e03f5c9c0c8f9eff59afa081d80fa7668d504091ab7ce60368aa400f5",
      "selectionUse": "Role and delivery context only. Reciprocal supplier/customer descriptions are the same relationship, not independent measured activity."
    },
    {
      "entityId": "cerebras",
      "relation": "partners",
      "evidence": {
        "name": "AWS",
        "entityId": "amazon",
        "detail": "Planned Bedrock integration combines AWS Trainium and Cerebras hardware.",
        "status": "announced",
        "evidence": "company_stated",
        "sourceIds": [
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      },
      "packetSha256": "47c9e12e03f5c9c0c8f9eff59afa081d80fa7668d504091ab7ce60368aa400f5",
      "selectionUse": "Role and delivery context only. Reciprocal supplier/customer descriptions are the same relationship, not independent measured activity."
    },
    {
      "entityId": "cerebras",
      "relation": "partners",
      "evidence": {
        "name": "Callosum",
        "entityId": null,
        "detail": "August collaboration integrates Cerebras into heterogeneous workload orchestration; commercial volume is undisclosed.",
        "status": "announced",
        "evidence": "company_stated",
        "sourceIds": [
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        ]
      },
      "packetSha256": "47c9e12e03f5c9c0c8f9eff59afa081d80fa7668d504091ab7ce60368aa400f5",
      "selectionUse": "Role and delivery context only. Reciprocal supplier/customer descriptions are the same relationship, not independent measured activity."
    },
    {
      "entityId": "cerebras",
      "relation": "partners",
      "evidence": {
        "name": "General Compute",
        "entityId": null,
        "detail": "Hardware-financed inference deployment opens to customers in Q1 2027, according to the partner.",
        "status": "announced",
        "evidence": "company_stated",
        "sourceIds": [
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      },
      "packetSha256": "47c9e12e03f5c9c0c8f9eff59afa081d80fa7668d504091ab7ce60368aa400f5",
      "selectionUse": "Role and delivery context only. Reciprocal supplier/customer descriptions are the same relationship, not independent measured activity."
    },
    {
      "entityId": "cerebras",
      "relation": "partners",
      "evidence": {
        "name": "Gimlet Labs",
        "entityId": null,
        "detail": "Private deployments already serving tokens; broader cloud data center expected later in 2026.",
        "status": "current",
        "evidence": "company_stated",
        "sourceIds": [
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        ]
      },
      "packetSha256": "47c9e12e03f5c9c0c8f9eff59afa081d80fa7668d504091ab7ce60368aa400f5",
      "selectionUse": "Role and delivery context only. Reciprocal supplier/customer descriptions are the same relationship, not independent measured activity."
    },
    {
      "entityId": "cloudflare-workers-ai",
      "relation": "customers",
      "evidence": {
        "name": "VSCO",
        "entityId": null,
        "detail": "Canvas uses Workers AI for generative-image creative workflows; disclosed use does not specify spending.",
        "status": "current",
        "evidence": "company_stated",
        "sourceIds": [
          "cloudflare-workers-ai:cf-vsco"
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      },
      "packetSha256": "0697000ddda16621b4cdc8ef7941641f2697eda02123393a1e3f127acf4f9366",
      "selectionUse": "Role and delivery context only. Reciprocal supplier/customer descriptions are the same relationship, not independent measured activity."
    },
    {
      "entityId": "cloudflare-workers-ai",
      "relation": "customers",
      "evidence": {
        "name": "Unsplash, BuzzFeed, Character AI and Labelbox",
        "entityId": null,
        "detail": "Replicate identified these users in December 2023. Current contracts and continued use are not confirmed.",
        "status": "historical",
        "evidence": "company_stated",
        "sourceIds": [
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      },
      "packetSha256": "0697000ddda16621b4cdc8ef7941641f2697eda02123393a1e3f127acf4f9366",
      "selectionUse": "Role and delivery context only. Reciprocal supplier/customer descriptions are the same relationship, not independent measured activity."
    },
    {
      "entityId": "cloudflare-workers-ai",
      "relation": "suppliers",
      "evidence": {
        "name": "Model developers",
        "entityId": null,
        "detail": "Hosts third-party models, including Moonshot and Meta; architecture and licence terms vary by model.",
        "status": "current",
        "evidence": "company_stated",
        "sourceIds": [
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    {
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        "name": "MiniMax",
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      "evidence": {
        "name": "Harvey",
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    {
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      "evidence": {
        "name": "Vercel",
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      "evidence": {
        "name": "Heidi",
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    },
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      "evidence": {
        "name": "Factory",
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        "detail": "Trained adapters for secret detection.",
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    },
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        "name": "Cursor",
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    {
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      "evidence": {
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    },
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      "evidence": {
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        "detail": "Listed as an Inference Endpoints user; spend and current contract scope are undisclosed.",
        "status": "current",
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        "detail": "Listed as an Inference Endpoints user; spend and current contract scope are undisclosed.",
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      "evidence": {
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          "support": "Directly read supporting body; no login/paywall content used.",
          "outcome": "read"
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        "scope": "Existing recorded source inspection; reconciliation does not renew its access date."
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          "support": "Directly read supporting body; no login/paywall content used.",
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          "support": "Directly read supporting body; no login/paywall content used.",
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        "scope": "Existing recorded source inspection; reconciliation does not renew its access date."
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          "locator": "DEF 14A 2026 — executive officers",
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          "support": "Directly read supporting body; no login/paywall content used.",
          "outcome": "read"
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        "scope": "Existing recorded source inspection; reconciliation does not renew its access date."
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          "support": "Directly read supporting body; no login/paywall content used.",
          "outcome": "read"
        },
        "scope": "Existing recorded source inspection; reconciliation does not renew its access date."
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          "support": "Directly read supporting body; no login/paywall content used.",
          "outcome": "read"
        },
        "scope": "Existing recorded source inspection; reconciliation does not renew its access date."
      }
    ],
    "alphabet:a-au-woodward": [
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          "support": "Directly read supporting body; no login/paywall content used.",
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          "support": "Directly read supporting body; no login/paywall content used.",
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        },
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      }
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          "support": "Directly read supporting body; no login/paywall content used.",
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          "support": "Directly read supporting body; no login/paywall content used.",
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          "support": "Directly read supporting body; no login/paywall content used.",
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    "openrouter:or-pricing": [
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          "economicPeriod": "As dated in source; undated pages observed 2026-10-20",
          "support": "Directly read supporting body; no login/paywall content used.",
          "outcome": "read"
        },
        "scope": "Existing recorded source inspection; reconciliation does not renew its access date."
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          "locator": "Product navigation and mission",
          "economicPeriod": "Current website",
          "support": "Inkling, Tinker and interaction research remain current offerings/research.",
          "outcome": "read"
        },
        "scope": "Existing recorded source inspection; reconciliation does not renew its access date."
      }
    ],
    "thinking-machines:tm-news": [
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          "support": "Latest Tinker update identified.",
          "outcome": "read"
        },
        "scope": "Existing recorded source inspection; reconciliation does not renew its access date."
      }
    ],
    "thinking-machines:tm-nvidia": [
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          "support": "At least 1 GW, early-2027 target, unspecified strategic investment.",
          "outcome": "read"
        },
        "scope": "Existing recorded source inspection; reconciliation does not renew its access date."
      }
    ],
    "thinking-machines:tm-inkling": [
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          "locator": "Architecture and availability",
          "economicPeriod": "2026-07-15",
          "support": "Model specifications and named API partners.",
          "outcome": "read"
        },
        "scope": "Existing recorded source inspection; reconciliation does not renew its access date."
      }
    ],
    "thinking-machines:tm-inkling-small": [
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          "locator": "Release and architecture",
          "economicPeriod": "2026-07-30",
          "support": "276B total / 12B active parameters.",
          "outcome": "read"
        },
        "scope": "Existing recorded source inspection; reconciliation does not renew its access date."
      }
    ],
    "thinking-machines:tm-hf-inkling": [
      {
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          "locator": "License, model card, Downloads last month",
          "economicPeriod": "Current repository counter",
          "support": "Apache 2.0, modalities and 1,321,879 rolling-month downloads.",
          "outcome": "read"
        },
        "scope": "Existing recorded source inspection; reconciliation does not renew its access date."
      }
    ],
    "thinking-machines:tm-tinker": [
      {
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