Updated 8 Nov 2026
Synthetic training data companies in 2026, ranked by revenue.
The largest synthetic data companies by revenue on record are Mercor ($2B, run rate, Jun 2026), Appen ($249M, 12 months to Jun 2026), Proximal ($200M, run rate, Sep 2026), AfterQuery ($100M, run rate, Apr 2026) and Toloka ($26.4M, FY2024). They generate training data with models, simulators and code rather than record it, and sell it to the companies that train AI.
31 companies on our register say on their own pages that they generate the data they sell. 15 have revenue, a valuation or funding on record and are ranked below, every figure linked to the filing or article it comes from. Also called synthetic data providers for AI, synthetic data vendors.
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The largest synthetic data companies by revenue
The 6 with the most revenue on record, each bar linked to the record it comes from.
The latest money moves
The newest rounds, valuations and revenue figures among these companies, each linked to its record.
- 9 Oct 2026Eigent AI reported $12M revenue (run rate, Oct 2026)
- 29 Sep 2026Proximal raised $15M at a $300M valuation
- 29 Sep 2026Proximal reported $200M revenue (run rate, Sep 2026)
- 1 Sep 2026AfterQuery was valued at $3.2B valuation
- 27 Aug 2026Appen reported $249M revenue (12 months to Jun 2026)
- 26 Aug 2026Arga Labs raised $10M
Best for each kind of work
For each area, the highest-ranked company on this list that names it on its own pages: the largest by the money on record, and how many here do the same work.
- Best for business workMercor, $2B (run rate, Jun 2026): the largest of the 10 here that work on business work.
- Best for codingMercor, $2B (run rate, Jun 2026): the largest of the 8 here that work on coding.
- Best for financeMercor, $2B (run rate, Jun 2026): the largest of the 8 here that work on finance.
- Best for legalMercor, $2B (run rate, Jun 2026): the largest of the 5 here that work on legal.
- Best for medicalMercor, $2B (run rate, Jun 2026): the largest of the 5 here that work on medical.
- Best for roboticsAppen, $249M (12 months to Jun 2026): the largest of the 6 here that work on robotics.
- Best for scienceAppen, $249M (12 months to Jun 2026): the largest of the 4 here that work on science.
- Best for speech and audioAppen, $249M (12 months to Jun 2026): the largest of the 4 here that work on speech and audio.
- Best for images and videoAppen, $249M (12 months to Jun 2026): the largest of the 4 here that work on images and video.
- Best for languagesAppen, $249M (12 months to Jun 2026): the largest of the 3 here that work on languages.
- Best for securityProximal, $200M (run rate, Sep 2026): the largest of the 3 here that work on security.
- Best for computer useAfterQuery, $100M (run rate, Apr 2026): the largest of the 6 here that work on computer use.
The ranking: 15 synthetic data companies
Each company is ranked on the first of these it has on record: its revenue over twelve months (a run rate or a year as published, or its last four quarters added up; an AI segment where the rest of its business is not AI data), then its newest valuation, then the money it disclosed raising. No company pays for a place.
| # | Company | Ranked on | Measure | Valuation | Sells | Pays companies for data |
|---|---|---|---|---|---|---|
| 1 | Mercor | $2B | Revenue, run rate, Jun 2026 | $10B | RL environments, Datasets, Expert and human data, Evaluations and benchmarks | Through our introductions |
| 2 | Appen | $249M | Revenue, 12 months to Jun 2026 | Labeling software, Datasets, Expert and human data, RL environments, Evaluations and benchmarks, Annotation | Its own programme | |
| 3 | Proximal | $200M | Revenue, run rate, Sep 2026 | $300M | Evaluations and benchmarks, Datasets | |
| 4 | AfterQuery | $100M | Revenue, run rate, Apr 2026 | $3.2B | RL environments, Datasets, Expert and human data, Evaluations and benchmarks | Through our introductions |
| 5 | Toloka | $26.4M | Revenue, FY2024 | RL environments, Datasets, Expert and human data, Evaluations and benchmarks, Annotation | ||
| 6 | Eigent AI | $12M | Revenue, run rate, Oct 2026 | RL environments, Datasets, Evaluations and benchmarks | ||
| 7 | Applied Intuition | $15B | Valuation, 2025 | Simulation, RL environments, Evaluations and benchmarks, Annotation | ||
| 8 | Lightwheel | $145M | Money raised, disclosed | Datasets, Expert and human data, Evaluations and benchmarks, Annotation, Simulation | ||
| 9 | Encord | $90M | Money raised, disclosed | Labeling software, Annotation, Expert and human data, Datasets, Evaluations and benchmarks | ||
| 10 | Patronus AI | $70M | Money raised, disclosed | RL environments, Datasets, Expert and human data, Evaluations and benchmarks, Simulation | Through our introductions | |
| 11 | Moonlake AI | $28M | Money raised, disclosed | Evaluations and benchmarks, Simulation | ||
| 12 | Chakra Labs | $10.1M | Money raised, disclosed | RL environments, Expert and human data, Evaluations and benchmarks, Datasets | ||
| 13 | Arga Labs | $10M | Money raised, disclosed | RL environments, Evaluations and benchmarks | ||
| 14 | Veris AI | $8.5M | Money raised, disclosed | Evaluations and benchmarks, RL environments | ||
| 15 | Good Start Labs | $3.6M | Money raised, disclosed | RL environments, Datasets, Expert and human data, Evaluations and benchmarks, Annotation |
- Twelve months.
- A run rate or ARR is the company's own annualised figure, often its best month times twelve; a year is the year it published. Where a company reports quarters or halves, the last four quarters or two halves are added up. Gross revenue of a human data company includes what it pays its experts.
- Who is on it.
- A company is on this list when its own pages say it does this work, read word for word. It is not on it because we chose it, and none pays to be here.
- Your place, on your site.
- Every ranked company has a badge of its place, kept current with this page: the address is /badges/synthetic-data-companies/ followed by the company's id in its page's address, as in Mercor's. Link it to this page.
- Pays companies for data.
- "Through our introductions": it takes companies' data through AIData.Broker's introductions and pays us a referral fee when one goes ahead. That never moves its place: the order is the money on record. "Its own programme": a published programme for buying data. "Says it buys data": its own words, linked.
Head to head
The comparisons people search between companies on this list, side by side on the same figures.
More answers
- Which are the largest synthetic data companies?
- By the money on record: Mercor, $2B (run rate, Jun 2026); Appen, $249M (12 months to Jun 2026); Proximal, $200M (run rate, Sep 2026). 6 of the 31 on the list have revenue on record; the others are ranked on their valuation or the money they raised.
- Is Applied Intuition the biggest of the synthetic data companies?
- By valuation, yes: Applied Intuition was valued at $15B (Jun 2025). By revenue on record, Mercor is larger: $2B (run rate, Jun 2026), against no revenue on record for Applied Intuition.
- Which synthetic data companies buy data from companies?
- 5 of them take data from companies that hold it, on a published programme or in their own words: Mercor, Appen, AfterQuery, Patronus AI and Prime Intellect. A company holding such data can value it free and be introduced to every one whose rules take it.
- How many synthetic data companies are there?
- 31 companies on our register say on their own pages that they generate the data they sell. 15 of them have revenue, a valuation or funding on record, and are ranked; the rest are listed by name.
- How is this list ranked?
- Each company is ranked on the first of these it has on record: its revenue over twelve months (a run rate or a year as published, or its last four quarters added up; an AI segment where the rest of its business is not AI data), then its newest valuation, then the money it disclosed raising. No company pays for a place.
Other rankings
The same rule, other parts of the market, and every company on one page: the market map.
- Best AI data labs and human data companiesLargest: Mercor
- RL environment companiesLargest: Mercor
- Best data labeling companiesLargest: Handshake AI
- Best data labeling platformsLargest: Scale AI
- AI evaluation companiesLargest: Mercor
- Best AI training data providersLargest: Mercor
- Coding data companies for AILargest: Mercor
- Robotics training data companiesLargest: Scale AI
- Medical AI training data companiesLargest: Mercor
- Speech and audio training data companiesLargest: Surge AI
- Video and image training data companiesLargest: Surge AI
- Finance AI training data companiesLargest: Mercor
- Legal AI training data companiesLargest: Mercor
- AI red teaming and security data companiesLargest: Proximal
- Multilingual training data providersLargest: Surge AI
- Best AI data collection companiesLargest: Innodata
- Computer-use agent data companiesLargest: Scale AI
Cite this
AIData.Broker, “Synthetic training data companies in 2026, ranked by revenue”, reviewed 8 Nov 2026. https://aidata.broker/best/synthetic-data-companies
Free to reuse under CC BY 4.0 if you credit AIData.Broker and link to this page. Each row names the publication that stated it, and words quoted from a source keep that source's own terms.
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