Data and models
The data that trains models and the labs that build them. Two labs dominate: Anthropic at an estimated $43B a year and OpenAI valued at $852B.
- Areas
- 4
- Companies
- 33
- Money flows
- 36
Training data and experts
Companies that supply labelled, expert-written and synthetic data that labs use to train and grade models.
pays vetted experts to write training data
About $2B gross annualised run rate in June 2026, reported by The Information. Gross means before contractor pay, which Sacra says is 60 to 70 percent of it
Open profiledata labelling
Meta paid $14.3B for 49%
Open profilehigh-end human data, self-funded
About $1.2B in 2024 (Sacra estimate)
Open profileListed data company that collects and labels AI training data, with a fast-growing China business.
Group revenue A$119.9M in the half year to June 2026 (ASX filing)
Open profilestudent network turned expert supplier
About $1.1B annualised gross revenue in April 2026 (Sacra estimate). Net revenue about $450M after contractor pay
Open profileRuns human feedback and training data operations for frontier labs and large enterprises.
$134M in 2024, company figure reported by Sacra
Open profileSells data labelling software and a data service for building AI training sets.
About $50M in 2024 (Latka estimate)
Open profileSupplies vetted domain experts, such as PhDs and senior engineers, to AI labs for training data.
More than $100M annual recurring revenue by December 2025 (TechCrunch). Sacra estimates about $500M annualised in August 2026 (estimate)
Open profileBuilds finished training datasets and simulated environments for AI labs, enterprises and the US government.
Annualised run rate above $350M, company figure in September 2026. Implicator reports $375M
Open profileSupplies coding and engineering experts who train, test and check AI models for labs.
About $300M annual recurring revenue at its March 2025 round (TechCrunch)
Open profileFrontier model labs
The few companies that train the largest models and sell them through apps and APIs.
ChatGPT and its API
About $13B revenue in 2025, against about $34B of costs (reported)
Open profileClaude and Claude Code. Strongest with businesses and coders
Annualised revenue run rate above $65B at the end of July 2026, reported from an investor update (Aug 2026)
Open profileBuilds the Gemini models through Google DeepMind and sells them through Search, Cloud and the Gemini app.
25% of AI chip supply (Epoch AI)
Open profileOwns about 27 percent of OpenAI and sells Azure cloud and Copilot tools that run on its models.
20M+ users (2025)
Open profileRuns Meta Superintelligence Labs and builds its Muse models, with the Llama line now scaled back.
Sales more than tripled (H1 2025)
Open profileInvests in Anthropic and sells it cloud compute through AWS.
5% of AI chip supply (Epoch AI)
Open profileEuropean lab
About $14B valuation (Sep 2025)
Open profileex-OpenAI founders
Annualised run rate above $100M, self-reported and unaudited
Open profileLab that aims to build frontier open-weight models in the US, backed by Nvidia.
$8B after a $2B round led by Nvidia in October 2025. Talks at $25B reported in 2026
Open profileChinese research lab that releases its strongest models as open weights.
About 475M yuan (about $70.7M) in the first seven months of 2026 (The Information, reported)
Open profileChinese lab that makes chat, voice and video models, with most app revenue from overseas subscriptions.
About $30.5M in 2024 (filings, reported). About $53.4M in the nine months to September 2025 (reported)
Open profileChinese lab behind the Kimi chatbot and the Kimi open models.
Annual recurring revenue above $200M in April 2026 (reported)
Open profileBuilds the Grok models and the X platform, and is now part of SpaceX.
About $500M annualised run rate in 2026 (reported)
Open profileChinese lab that makes the GLM models, mostly sold to enterprises, and is now listed in Hong Kong.
About $44.4M in 2024 (filings, reported)
Open profileResearch lab founded by Ilya Sutskever that aims to build safe superhuman AI and has no public product yet.
No revenue reported. No model, API or product released as of July 2026
Open profileOpen models
Models anyone can download and run for free, and the businesses built around hosting and adapting them.
Released the Llama open models, and now releases only some of its newer models as open weights.
Sales more than tripled (H1 2025)
Open profilereleases open models and sells hosted access
About $14B valuation (Sep 2025)
Open profilehosts and fine-tunes open models
About $1B annualised (Sacra estimate, Feb 2026)
Open profileLab that aims to release frontier open-weight models built in the US, backed by Nvidia.
$8B after a $2B round led by Nvidia in October 2025. Talks at $25B reported in 2026
Open profileChinese research lab that releases its strongest models as open weights, including V4 in April 2026.
About 475M yuan (about $70.7M) in the first seven months of 2026 (The Information, reported)
Open profilethe hub where open models live
Annualised revenue above $150M, from one unofficial report. The company does not disclose revenue
Open profileChinese lab that releases open models for chat, voice and video, now listed in Hong Kong.
About $30.5M in 2024 (filings, reported). About $53.4M in the nine months to September 2025 (reported)
Open profileChinese lab behind the Kimi open models and the Kimi chatbot.
Annual recurring revenue above $200M in April 2026 (reported)
Open profileChinese lab that releases GLM open models and sells enterprise services, now listed in Hong Kong.
About $44.4M in 2024 (filings, reported)
Open profileChinese tech group whose Qwen open models are among the most downloaded, and which runs Alibaba Cloud.
AI Cloud and Compute Services revenue $7.1B in the June 2026 quarter, up 45% (company)
Open profileMakes the open-source Hermes models and the Hermes Agent.
About $36M annualised by mid-September 2026 (WSJ, reported). Expects to pass $100M by end 2026
Open profileNon-profit research lab that releases fully open models, with their training data and code.
Open profileTraining and fine-tuning
Platforms and services that adapt models to a company's own data and tasks.
Sells expert human feedback and training scenarios to labs that tune their models.
About $2B gross annualised run rate in June 2026, reported by The Information. Gross means before contractor pay, which Sacra says is 60 to 70 percent of it
Open profileGPU cloud that bought Weights and Biases and OpenPipe to add model tracking and fine-tuning tools.
Quarterly revenue $2.6B, up 112%. $104B backlog. Still loss-making
Open profileProvides human feedback and evaluation for model tuning, now with a large Meta stake.
Meta paid $14.3B for 49%
Open profileSupplies human feedback and training scenarios to frontier labs for post-training.
About $1.2B in 2024 (Sacra estimate)
Open profilemanaged fine-tuning across many open models
Annualised run rate above $100M, self-reported and unaudited
Open profilefine-tuning plus hosting
About $1B annualised (Sacra estimate, Feb 2026)
Open profilepay-as-you-go GPUs for training jobs
About $300M annualised (CEO, 2026, reported)
Open profileDeveloper platform that makes it easier to fine-tune and deploy open language models.
Reported sale price of $100M to $500M to Rubrik in June 2025 (reported, not official)
Open profileThe map updates three times a week.
241 companies across 25 areas, 62 money flows and 89 openings so far. New research lands every Tuesday, Thursday and Saturday.
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