Updated 9 Nov 2026
Centaur Labs competitors in 2026, ranked by revenue.
The largest companies that sell what Centaur Labs sells, by the money on record: Mercor (over $2B, run rate, Jun 2026), Surge AI ($1.2B, FY2024), Handshake AI (over $1B, run rate, Aug 2026), micro1 ($1B, run rate, Oct 2026) and Scale AI (about $1B, FY2025). Centaur Labs itself is #42 of 61, on $16M raised.
128 companies on our register sell at least two of what Centaur Labs sells (annotation, evaluations and benchmarks and datasets), read on their own pages. 60 have revenue, a valuation or funding on record and are ranked below with Centaur Labs, every figure linked to the filing or article it comes from.
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Centaur Labs and its 60 ranked competitors
41 of them rank above Centaur Labs. 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 | over $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 | over $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 | about $1B | Revenue, FY2025 | $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 | Labeling software, 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 | about $300M | Revenue, run rate, Mar 2025 | $2.2B | RL environments, Datasets, Expert and human data, Evaluations and benchmarks | Through our introductions |
| 9 | TaskUs | over $250M | Revenue, 12 months to Sep 2026 (AI Services) | Annotation, Expert and human data, Datasets | ||
| 10 | Appen | $249M | Revenue, 12 months to Jun 2026 | Labeling software, Datasets, Expert and human data, RL environments, Evaluations and benchmarks, Annotation | Its own programme | |
| 11 | Proximal | $200M | Revenue, run rate, Sep 2026 | $300M | Evaluations and benchmarks, Datasets | |
| 12 | Invisible Technologies | $134M | Revenue, FY2024 | over $2B | RL environments, Datasets, Expert and human data, Evaluations and benchmarks, Annotation | |
| 13 | AfterQuery | $100M | Revenue, run rate, Apr 2026 | $3.2B | RL environments, Datasets, Expert and human data, Evaluations and benchmarks | Through our introductions |
| 14 | Arena | $100M | Revenue, run rate, Oct 2026 | $3.1B | Evaluations and benchmarks, Datasets | |
| 15 | Mecka | $100M | Revenue, run rate, Jun 2026 | about $500M | Datasets, Expert and human data, Evaluations and benchmarks | |
| 16 | Toloka | $26.4M | Revenue, FY2024 | RL environments, Datasets, Expert and human data, Evaluations and benchmarks, Annotation | ||
| 17 | Eigent AI | $12M | Revenue, run rate, Oct 2026 | RL environments, Datasets, Evaluations and benchmarks | ||
| 18 | Applied Intuition | $15B | Valuation, 2025 | Simulation, RL environments, Evaluations and benchmarks, Annotation | ||
| 19 | Mechanize | $500M | Valuation, 2026 | RL environments, Evaluations and benchmarks, Datasets, Simulation | ||
| 20 | Vals AI | $400M | Valuation, 2026 | Evaluations and benchmarks, Datasets | ||
| 21 | Kled | $100M | Valuation, 2025 | Datasets, Expert and human data, Evaluations and benchmarks, Annotation | Its own programme | |
| 22 | Lightwheel | $145M | Money raised, disclosed | Datasets, Expert and human data, Evaluations and benchmarks, Annotation, Simulation | ||
| 23 | Encord | $90M | Money raised, disclosed | Labeling software, Annotation, Expert and human data, Datasets, Evaluations and benchmarks | ||
| 24 | Sama | $84.8M | Money raised, disclosed | Expert and human data, Annotation, Evaluations and benchmarks | ||
| 25 | CloudFactory | $75.3M | Money raised, disclosed | Datasets, Annotation, Expert and human data, Evaluations and benchmarks | ||
| 26 | Patronus AI | $70M | Money raised, disclosed | RL environments, Datasets, Expert and human data, Evaluations and benchmarks, Simulation | Through our introductions | |
| 27 | XDOF | $70M | Money raised, disclosed | Evaluations and benchmarks, Datasets, Annotation | ||
| 28 | Defined.ai | $63.4M | Money raised, disclosed | Datasets, Expert and human data, Annotation, Evaluations and benchmarks | Its own programme | |
| 29 | Centific | $60M | Money raised, disclosed | RL environments, Datasets, Expert and human data, Evaluations and benchmarks, Annotation | Its own programme | |
| 30 | Protege | $55M | Money raised, disclosed | Datasets, Evaluations and benchmarks | Its own programme | |
| 31 | SuperAnnotate | $52.5M | Money raised, disclosed | Labeling software, Expert and human data, RL environments, Evaluations and benchmarks, Annotation, Datasets | Its own programme | |
| 32 | David AI | $50M | Money raised, disclosed | Datasets, Expert and human data, Evaluations and benchmarks | ||
| 33 | Bespoke Labs | $40M | Money raised, disclosed | RL environments, Evaluations and benchmarks, Datasets, Simulation | ||
| 34 | Gray Swan AI | $40M | Money raised, disclosed | Evaluations and benchmarks, Datasets | ||
| 35 | Prolific | $33.2M | Money raised, disclosed | Evaluations and benchmarks, Expert and human data, Datasets, Annotation | ||
| 36 | Kili Technology | $32M | Money raised, disclosed | Labeling software, Annotation, Expert and human data, Evaluations and benchmarks | ||
| 37 | Luel | $31.2M | Money raised, disclosed | Datasets, Expert and human data, Evaluations and benchmarks, Annotation | ||
| 38 | Maxinsights | $30M | Money raised, disclosed | Expert and human data, Evaluations and benchmarks, Annotation, Simulation | ||
| 39 | Deccan AI | $25M | Money raised, disclosed | RL environments, Datasets, Expert and human data, Evaluations and benchmarks, Annotation | ||
| 40 | HumanSignal | $25M | Money raised, disclosed | Labeling software, Annotation, Evaluations and benchmarks | ||
| 41 | iMerit | $23.5M | Money raised, disclosed | Labeling software, Expert and human data, Evaluations and benchmarks, Annotation, Datasets | ||
| 42 | Centaur Labs | $16M | Money raised, disclosed | Annotation, Evaluations and benchmarks, Datasets | ||
| 43 | Sapien | $15.5M | Money raised, disclosed | Evaluations and benchmarks, Annotation | ||
| 44 | Datacurve | $15M | Money raised, disclosed | RL environments, Datasets, Expert and human data, Evaluations and benchmarks, Annotation | Its own programme | |
| 45 | Midcentury | $15M | Money raised, disclosed | Datasets, Expert and human data, Simulation, Evaluations and benchmarks, Annotation | ||
| 46 | Chakra Labs | $10.1M | Money raised, disclosed | RL environments, Expert and human data, Evaluations and benchmarks, Datasets | ||
| 47 | BioStack Platforms | $9.5M | Money raised, disclosed | RL environments, Datasets, Evaluations and benchmarks, Simulation | ||
| 48 | Idler | $9M | Money raised, disclosed | RL environments, Datasets, Evaluations and benchmarks, Simulation | Its own programme | |
| 49 | Perle AI | $9M | Money raised, disclosed | Datasets, Expert and human data, Evaluations and benchmarks, Annotation | ||
| 50 | Human Archive | $8.2M | Money raised, disclosed | Datasets, Expert and human data, Annotation | ||
| 51 | Bifrost | $8M | Money raised, disclosed | Datasets, Simulation, Evaluations and benchmarks | ||
| 52 | Runloop | $7M | Money raised, disclosed | Evaluations and benchmarks, Datasets, RL environments | ||
| 53 | clickworker | $6.03M | Money raised, disclosed | Datasets, Annotation | ||
| 54 | VisionLab AI | $6M | Money raised, disclosed | Datasets, Annotation, Expert and human data | ||
| 55 | Build AI | $5M | Money raised, disclosed | Datasets, Evaluations and benchmarks | ||
| 56 | Latch | $5M | Money raised, disclosed | Evaluations and benchmarks, Datasets, Annotation | ||
| 57 | Troveo | $4.5M | Money raised, disclosed | Datasets, Annotation | Its own programme | |
| 58 | Macrodata Labs | $4M | Money raised, disclosed | Annotation, Evaluations and benchmarks | ||
| 59 | Good Start Labs | $3.6M | Money raised, disclosed | RL environments, Datasets, Expert and human data, Evaluations and benchmarks, Annotation | ||
| 60 | Poindexter Labs | $2.7M | Money raised, disclosed | Datasets, Expert and human data, Evaluations and benchmarks, Annotation | ||
| 61 | Enkrypt AI | $2.35M | Money raised, disclosed | Evaluations and benchmarks, Datasets |
Competitors with no money on record (68)
Abaka AI, Abundant, Alice (formerly ActiveFence), Andovar, Anolytics, Anthromind, Aptura, Asimov, Aviro, Besimple AI, Claru, Cogito Tech, Collinear, Contra Labs, Cortex AI, Cua, DARE Labs, DataForce (TransPerfect), DataOcean AI, DataOcean AI (SpeechOcean), Datoric, Dissei, EdotEnv, Emulated, Enact, exponential, Fleet, Foundry AI, FutureBeeAI, Hillclimb, Hitech BPO, Humyn Labs, Huzzle Labs, isahit, Karya, Keymakr, Labellerr, LightWrk, LXT, Markov, Metaphi, Nexdata, Normal, Olam Labs, Ooak, OpenTrain AI, Paper Instruments, Parsewave, Prime Intellect, ReasonCore, Refresh, Revelo, Rise Data Labs, Sepal AI, Shaip, Sieve, Symbal, Tacit Labs, TELUS Digital, TrainAI by RWS, Twine AI, Uber AI Solutions, Ulam, Unidata, Vetto AI, Vibrant Labs, Welocalize, Zeton.
- Who is a competitor.
- A company whose own pages, read word for word, say it sells at least two of the things Centaur Labs 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 Centaur Labs and its competitors, each linked to its record.
- 5 Nov 2026Innodata reported $350M revenue (12 months to Sep 2026)
- 4 Nov 2026TaskUs reported over $250M revenue (12 months to Sep 2026, AI Services)
- 22 Oct 2026Maxinsights raised $30M
- 22 Oct 2026BioStack Platforms raised $9.5M
- 12 Oct 2026micro1 was valued at valuation of $4B
- 12 Oct 2026micro1 reported $1B revenue (run rate, Oct 2026)
- 9 Oct 2026Eigent AI reported $12M revenue (run rate, Oct 2026)
- 8 Oct 2026Arena raised $200M at a valuation of $3.1B
The questions people ask
- Who are Centaur Labs' competitors?
- 128 companies on our register sell at least two of what Centaur Labs sells (annotation, evaluations and benchmarks and datasets). The largest by the money on record: Mercor at over $2B (run rate, Jun 2026), Surge AI at $1.2B (FY2024), Handshake AI at over $1B (run rate, Aug 2026). Centaur Labs is #42 of the 61 with money on record, on $16M raised.
- Who is Centaur Labs' biggest competitor?
- Mercor, by the money on record: over $2B (run rate, Jun 2026), against Centaur Labs' $16M raised. Mercor sells evaluations and benchmarks and datasets, as Centaur Labs does.
- Which of Centaur Labs' competitors buy data from companies?
- 24 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, Kled and others.
Where Centaur Labs ranks
Its place on each list of the market it belongs to, by the same rule.