Updated 8 Nov 2026
Quesma competitors in 2026, ranked by revenue.
The largest companies that sell what Quesma sells, by the money on record: Mercor ($2B, run rate, Jun 2026), Surge AI ($1.2B, FY2024), Handshake AI ($1B, run rate, Aug 2026), micro1 ($1B, run rate, Oct 2026) and Scale AI ($870M, FY2024). Quesma itself is #33 of 33, on $2M raised.
79 companies on our register sell at least two of what Quesma sells (RL environments and evaluations and benchmarks), read on their own pages. 32 have revenue, a valuation or funding on record and are ranked below with Quesma, every figure linked to the filing or article it comes from.
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Quesma and its 32 ranked competitors
32 of them rank above Quesma. 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 | Surge AI | $1.2B | Revenue, FY2024 | RL environments, Datasets, Expert and human data, Evaluations and benchmarks | ||
| 3 | Handshake AI | $1B | Revenue, run rate, Aug 2026 | $3.5B | RL environments, Evaluations and benchmarks, Expert and human data, Annotation | Through our introductions |
| 4 | micro1 | $1B | Revenue, run rate, Oct 2026 | $4B | RL environments, Evaluations and benchmarks, Expert and human data, Datasets | Through our introductions |
| 5 | Scale AI | $870M | Revenue, FY2024 | $29B | Labeling software, RL environments, Datasets, Expert and human data, Evaluations and benchmarks, Annotation, Simulation | Through our introductions |
| 6 | Snorkel AI | $375M | Revenue, run rate, Sep 2026 | $3.5B | Datasets, RL environments, Expert and human data, Evaluations and benchmarks, Annotation | |
| 7 | Innodata | $350M | Revenue, 12 months to Sep 2026 | Labeling software, RL environments, Datasets, Expert and human data, Evaluations and benchmarks, Annotation | ||
| 8 | Turing | $300M | Revenue, run rate, Mar 2025 | $2.2B | RL environments, Datasets, Expert and human data, Evaluations and benchmarks | Through our introductions |
| 9 | Appen | $249M | Revenue, 12 months to Jun 2026 | Labeling software, Datasets, Expert and human data, RL environments, Evaluations and benchmarks, Annotation | Its own programme | |
| 10 | Invisible Technologies | $134M | Revenue, FY2024 | $2B | RL environments, Datasets, Expert and human data, Evaluations and benchmarks, Annotation | |
| 11 | AfterQuery | $100M | Revenue, run rate, Apr 2026 | $3.2B | RL environments, Datasets, Expert and human data, Evaluations and benchmarks | Through our introductions |
| 12 | Toloka | $26.4M | Revenue, FY2024 | RL environments, Datasets, Expert and human data, Evaluations and benchmarks, Annotation | ||
| 13 | Eigent AI | $12M | Revenue, run rate, Oct 2026 | RL environments, Datasets, Evaluations and benchmarks | ||
| 14 | Applied Intuition | $15B | Valuation, 2025 | Simulation, RL environments, Evaluations and benchmarks, Annotation | ||
| 15 | Labelbox | $1.3B | Valuation, 2026 | RL environments, Expert and human data, Evaluations and benchmarks | Its own programme | |
| 16 | Mechanize | $500M | Valuation, 2026 | RL environments, Evaluations and benchmarks, Datasets, Simulation | ||
| 17 | Patronus AI | $70M | Money raised, disclosed | RL environments, Datasets, Expert and human data, Evaluations and benchmarks, Simulation | Through our introductions | |
| 18 | Centific | $60M | Money raised, disclosed | RL environments, Datasets, Expert and human data, Evaluations and benchmarks, Annotation | Its own programme | |
| 19 | SuperAnnotate | $49.5M | Money raised, disclosed | Labeling software, Expert and human data, RL environments, Evaluations and benchmarks, Annotation, Datasets | Its own programme | |
| 20 | Bespoke Labs | $40M | Money raised, disclosed | RL environments, Evaluations and benchmarks, Datasets, Simulation | ||
| 21 | Halluminate | $30M | Money raised, disclosed | RL environments, Evaluations and benchmarks | Its own programme | |
| 22 | Deccan AI | $25M | Money raised, disclosed | RL environments, Datasets, Expert and human data, Evaluations and benchmarks, Annotation | ||
| 23 | HUD | $16M | Money raised, disclosed | RL environments, Evaluations and benchmarks | ||
| 24 | Datacurve | $15M | Money raised, disclosed | RL environments, Datasets, Expert and human data, Evaluations and benchmarks, Annotation | Its own programme | |
| 25 | General Reasoning | $10.9M | Money raised, disclosed | RL environments, Evaluations and benchmarks | ||
| 26 | Chakra Labs | $10.1M | Money raised, disclosed | RL environments, Expert and human data, Evaluations and benchmarks, Datasets | ||
| 27 | Arga Labs | $10M | Money raised, disclosed | RL environments, Evaluations and benchmarks | ||
| 28 | BioStack Platforms | $9.5M | Money raised, disclosed | RL environments, Datasets, Evaluations and benchmarks, Simulation | ||
| 29 | Idler | $9M | Money raised, disclosed | RL environments, Datasets, Evaluations and benchmarks, Simulation | Its own programme | |
| 30 | Veris AI | $8.5M | Money raised, disclosed | Evaluations and benchmarks, RL environments | ||
| 31 | Runloop | $7M | Money raised, disclosed | Evaluations and benchmarks, Datasets, RL environments | ||
| 32 | Good Start Labs | $3.6M | Money raised, disclosed | RL environments, Datasets, Expert and human data, Evaluations and benchmarks, Annotation | ||
| 33 | Quesma | $2M | Money raised, disclosed | RL environments, Evaluations and benchmarks |
Abaka AI, Abundant, Align AI, Andromede, Aptura, Archal, ARIMLABS, Aviro, Besimple AI, Collinear, Cua, CueBench, DARE Labs, Dissei, Enact, exponential, Fleet, Foundry AI, Hillclimb, Huzzle Labs, Keymakr, Maingen, Markov, Metaphi, Mind Lab, Monte, Noumad, Olam Labs, Ooak, Polymath, pre.dev, Prime Intellect, Refresh, Revelo, Rise Data Labs, Sieve, Synthetic Sciences, Tacit Labs, Theta, Theta Lab, Trajectory Labs, Uber AI Solutions, Ulam, Vetto AI, Vibrant Labs, Vmax, Zeton.
- Who is a competitor.
- A company whose own pages, read word for word, say it sells at least two of the things Quesma sells. Not our opinion of who competes, and nobody pays to be here.
- The place.
- Each company's place among these, renumbered from its place on the whole register's ranking (/best), by the same rule.
- 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.
The latest money moves
The newest rounds, valuations and revenue figures among Quesma and its competitors, each linked to its record.
- 5 Nov 2026Innodata reported $350M revenue (12 months to Sep 2026)
- 22 Oct 2026BioStack Platforms raised $9.5M
- 14 Oct 2026Labelbox raised $100M at a $1.3B valuation
- 12 Oct 2026micro1 was valued at $4B valuation
- 12 Oct 2026micro1 reported $1B revenue (run rate, Oct 2026)
- 9 Oct 2026Eigent AI reported $12M revenue (run rate, Oct 2026)
- 1 Oct 2026Halluminate raised $30M
- 23 Sep 2026micro1 raised $100M at a $4B valuation
The questions people ask
- Who are Quesma's competitors?
- 79 companies on our register sell at least two of what Quesma sells (RL environments and evaluations and benchmarks). The largest by the money on record: Mercor at $2B (run rate, Jun 2026), Surge AI at $1.2B (FY2024), Handshake AI at $1B (run rate, Aug 2026). Quesma is #33 of the 33 with money on record, on $2M raised.
- Who is Quesma's biggest competitor?
- Mercor, by the money on record: $2B (run rate, Jun 2026), against Quesma's $2M raised. Mercor sells RL environments and evaluations and benchmarks, as Quesma does.
- Which of Quesma's competitors buy data from companies?
- 21 of them take data from the companies that hold it, through a published programme or in their own words: Mercor, Handshake AI, micro1, Scale AI, Turing, Appen, AfterQuery, Labelbox and others.
Where Quesma ranks
Its place on each list of the market it belongs to, by the same rule.