AI & Tech Intelligence · Epoch AI data
The Largest AI Companies, Ranked by Funding
The 7 leading AI companies ranked by equity funding, with dated valuations, estimated revenue, staff and revenue-per-employee. OpenAI leads at $182.8bn raised; every figure sourced to Epoch AI with its date. Free to cite and embed, CC BY 4.0.
TL;DR — OpenAI is the most-funded AI company at $182.8bn raised; Anthropic is the highest-valued at $965.0bn post-money.
Epoch AI · Epoch AI · Stanford HAI | 7 entities | 697 words · 10 sections | data: CSV + JSON
Executive summary
This is the definitive, source-cited ranking of the world's largest AI companies — the foundation-model labs building frontier systems. The 7 leading labs are ranked by total equity funding, the cleanest single measure of scale, and the table adds each company's latest dated valuation, estimated annualised revenue, staff count and revenue per employee. OpenAI leads on funding ($182.8bn); Anthropic on valuation ($965.0bn). Every number is drawn from Epoch AI's Data on AI Companies (CC BY 4.0) and carries the date it was reported — no undated or guessed figures. The full ranking is downloadable as CSV and JSON and free to embed.
“U.S. private AI investment reached $285.9 billion in 2025, more than 23 times the $12.4 billion invested in China.”
Key findings
OpenAI is the most-funded AI company
OpenAI has raised about $182.8bn in equity, the most of any AI company, and carries an estimated valuation of $852.0bn (2026-03-31).
Source: Epoch AI — Data on AI Companies · 2026 · confidence: High
Two labs hold most of the money
OpenAI and Anthropic together account for roughly 87% of all funding raised by the leading AI labs — the most concentrated capital base in technology.
Source: Epoch AI — Data on AI Companies · 2026 · confidence: High
The frontier is largely American
US-based labs have raised about $359.2bn against China's ~$8.7bn, a gap that mirrors the national AI-investment picture.
Source: Epoch AI — Data on AI Companies · 2026 · confidence: High
Data vintage — August 2026
Funding, valuations, revenue and staff from Epoch AI's Data on AI Companies. Each valuation/revenue/staff figure is the latest dated report Epoch holds, with its confidence rating; totals for equity funding are cumulative. Regenerates automatically as Epoch updates.
The ranking — AI companies by equity funding
The 7 leading AI labs by total equity raised (US$ billions). OpenAI and Anthropic are in a class of their own; see the full table for dated valuations, revenue and staff.
What the data reveals
The AI-lab landscape is a capital pyramid. The eleven leading foundation-model companies have raised about $370.9bn in equity between them, and just two — OpenAI ($182.8bn) and Anthropic ($139.4bn) — account for roughly 87% of it. Frontier AI is the most capital-intensive frontier in technology, and the capital is astonishingly concentrated.
It is also overwhelmingly American. US-based labs (3 of the 7) have raised about $359.2bn; China's 3 leading labs about $8.7bn — a gap of roughly 41× that mirrors the national investment picture. DeepSeek's rise shows Chinese labs can reach the frontier on a fraction of the capital, but the funding centre of gravity sits firmly in the US.
Valuations have detached from revenue at the very top. OpenAI is valued at about 21.3× its estimated annualised revenue and Anthropic at 20.5× — multiples that price in years of expected growth, not current sales. These are the numbers a bubble debate is built on.
The efficiency story hides in revenue per employee. Anthropic leads at about $16m of annualised revenue per employee — a figure that dwarfs almost any traditional software company and explains why a few hundred people can support a hundred-billion-dollar valuation.
Full ranking — 7 AI companies
Every leading AI lab with its funding, latest dated valuation, estimated annualised revenue, staff and revenue per employee. Valuation, revenue and staff are the most recent dated figures Epoch AI holds; see methodology for confidence.
| # | Company | Country | Founded | Funding | Valuation | Est. revenue | Staff | Rev/employee |
|---|---|---|---|---|---|---|---|---|
| 1 | OpenAI | United States | 2015 | $182.8bn | $852.0bn | $40.0bn | 4,500 | $9m |
| 2 | Anthropic | United States | 2021 | $139.4bn | $965.0bn | $47.0bn | 3,000 | $16m |
| 3 | xAI | United States | 2023 | $37.0bn | $230.0bn | $428m | 300 | $1m |
| 4 | DeepSeek | China | 2023 | $7.5bn | $50.0bn | $450m | 300 | $2m |
| 5 | Mistral AI | France | 2023 | $3.0bn | $13.7bn | $400m | 350 | $1m |
| 6 | MiniMax | China | — | $619m | $37.2bn | — | 385 | — |
| 7 | Z.ai (Zhipu) | China | — | $558m | $39.4bn | $153m | 883 | $173,273 |
Big Tech's AI labs — funded from within
Not every major AI lab raises outside equity. Google DeepMind and Meta AI are divisions of Alphabet and Meta, funded internally, so they don't appear in the funding ranking above — but by usage they are among the largest AI operations in the world. Their reported staff and reach:
| Lab | Parent / country | Staff | Active users | Est. revenue |
|---|---|---|---|---|
| United States | 6,000 | 650m | — | |
| Cohere | Canada | — | — | $240m |
| Meta | United States | 3,400 | 1000m | — |
| Moonshot AI | China | — | — | $300m |
Scoreboard (machine-readable data)
Every headline indicator with its value, period, source and confidence. Free to reuse under CC BY 4.0.
| Indicator | Value | Period | Source | Conf. |
|---|---|---|---|---|
| OpenAI | 182750000000 USD | 2015–2026 | Epoch AI — Data on AI Companies | High |
| Anthropic | 139404000000 USD | 2021–2026 | Epoch AI — Data on AI Companies | High |
| xAI | 37000000000 USD | 2023–2026 | Epoch AI — Data on AI Companies | High |
| DeepSeek | 7500000000 USD | 2023–2026 | Epoch AI — Data on AI Companies | High |
| Mistral AI | 3034300000 USD | 2023–2026 | Epoch AI — Data on AI Companies | High |
| MiniMax | 619000000 USD | –2026 | Epoch AI — Data on AI Companies | High |
| Z.ai (Zhipu) | 558000000 USD | –2026 | Epoch AI — Data on AI Companies | High |
Methodology & verification
Ranked by total equity funding — the single cleanest, most reliable figure — from Epoch AI's Data on AI Companies (CC BY 4.0). Valuation is the latest dated post-money valuation from a funding round; estimated annualised revenue and staff count are the latest dated reports Epoch holds, each with a confidence rating (Confident/Likely). We publish only dated figures and never infer a 'current' number from an undated series. Revenue per employee is derived (latest revenue ÷ latest staff). Company country is the parent organisation's nationality. Nothing is estimated by Affärslivet beyond that derived ratio. Confidence: High on funding, Medium on revenue/valuation (labs are private and disclose selectively).
Data dictionary
| Field | Type | Description |
|---|---|---|
| company | string | AI company / foundation-model lab |
| total_funding | number | Total equity funding raised, USD (Epoch AI) |
| valuation | number | Latest dated post-money valuation, USD (Epoch AI) |
| revenue | number | Latest dated estimated annualised revenue, USD (Epoch AI) |
| staff | number | Latest dated staff count (Epoch AI) |
Frequently asked questions
Which AI company has raised the most money?
OpenAI, with about $182.8bn in total equity funding — the most of any AI company. Anthropic is second at $139.4bn. Source: Epoch AI.
How much revenue does OpenAI make?
OpenAI's estimated annualised revenue is about $40.0bn as of 2026-08-13 (Epoch AI, confidence: Likely). Because OpenAI is private, revenue figures are estimates from reported data.
What is Anthropic's valuation?
Anthropic's latest post-money valuation is about $965.0bn as of 2026-05-28 (Epoch AI, confidence: Confident).
How many employees does OpenAI have?
About 4,500 as of 2026-03-21 (Epoch AI).
Are US or Chinese AI companies bigger?
By funding, US labs dominate: the 3 leading US labs have raised ~$359.2bn versus ~$8.7bn for China's 3. But China's DeepSeek reached the frontier on a fraction of the capital. Source: Epoch AI.
Which countries rank in the top 5 of the The Largest AI Companies, Ranked by Funding?
The top five are OpenAI, Anthropic, xAI, DeepSeek and Mistral AI, based on the The Largest AI Companies, Ranked by Funding (Affärslivet, 2026-08-17).
How many countries are ranked in the The Largest AI Companies, Ranked by Funding?
7 economies are included in the The Largest AI Companies, Ranked by Funding (2026-08-17). Full data is free to download as CSV or JSON under CC BY 4.0.
Glossary
- Foundation model lab
- A company whose core product is a general-purpose AI model (a foundation model) that can be adapted to many tasks — such as OpenAI, Anthropic or Google DeepMind. ↗
- Equity funding
- Capital raised by selling ownership stakes in a company; the cumulative total is the clearest measure of how much investment a private company has attracted. ↗
- Post-money valuation
- A company's estimated total value immediately after a funding round, including the new investment. ↗
- Annualised revenue
- A company's recent revenue run-rate projected to a full year — the standard way fast-growing private companies report scale. ↗
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APA
Affärslivet Research. (2026). The Largest AI Companies, Ranked by Funding. Affärslivet. Version 1.0. https://xn--affrslivet-s5a.com/en/reports/largest-ai-companies
MLA
Affärslivet Research. "The Largest AI Companies, Ranked by Funding." Affärslivet, 2026-07-30, https://xn--affrslivet-s5a.com/en/reports/largest-ai-companies.
BibTeX
@techreport{affarslivet_largest_ai_companies,
title = {The Largest AI Companies, Ranked by Funding},
author = {{Affärslivet Research}},
year = {2026},
note = {Version 1.0},
url = {https://xn--affrslivet-s5a.com/en/reports/largest-ai-companies}
} License CC BY 4.0 — free to cite, embed and republish with attribution to Affärslivet. Data also as CSV / JSON.
Sources
Part of Affärslivet AI Intelligence
This report is one part of Affärslivet's source-cited AI knowledge layer. Start with the big picture:
- The State of AI 2026 — our free, source-cited annual report
- AI Statistics 2026 — 230+ source-cited AI facts & figures
- The AI Intelligence hub — all our indexes, rankings, model & lab profiles