Updated 8 Nov 2026
Taste Labs competitors in 2026, ranked by revenue.
The largest companies that sell what Taste Labs 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). Taste Labs itself is #33 of 41, on $18.5M raised.
97 companies on our register sell expert and human data, as Taste Labs does, read on their own pages. 40 have revenue, a valuation or funding on record and are ranked below with Taste Labs, every figure linked to the filing or article it comes from.
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Taste Labs and its 40 ranked competitors
32 of them rank above Taste 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 | $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 | Prolific | $500M | Revenue, run rate, May 2026 | Evaluations and benchmarks, Expert and human data, Datasets, Annotation | ||
| 7 | Snorkel AI | $375M | Revenue, run rate, Sep 2026 | $3.5B | Datasets, RL environments, Expert and human data, Evaluations and benchmarks, Annotation | |
| 8 | Innodata | $350M | Revenue, 12 months to Sep 2026 | Labeling software, RL environments, Datasets, Expert and human data, Evaluations and benchmarks, Annotation | ||
| 9 | Turing | $300M | Revenue, run rate, Mar 2025 | $2.2B | RL environments, Datasets, Expert and human data, Evaluations and benchmarks | Through our introductions |
| 10 | TaskUs | $250M | Revenue, 12 months to Sep 2026 (AI Services) | Annotation, Expert and human data, Datasets | ||
| 11 | Appen | $249M | Revenue, 12 months to Jun 2026 | Labeling software, Datasets, Expert and human data, RL environments, Evaluations and benchmarks, Annotation | Its own programme | |
| 12 | Invisible Technologies | $134M | Revenue, FY2024 | $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 | Mecka | $100M | Revenue, run rate, Jun 2026 | $500M | Datasets, Expert and human data, Evaluations and benchmarks | |
| 15 | Wirestock | $40M | Revenue, run rate, May 2026 | Datasets, Expert and human data | Its own programme | |
| 16 | Toloka | $26.4M | Revenue, FY2024 | RL environments, Datasets, Expert and human data, Evaluations and benchmarks, Annotation | ||
| 17 | Labelbox | $1.3B | Valuation, 2026 | RL environments, Expert and human data, Evaluations and benchmarks | Its own programme | |
| 18 | Kled | $100M | Valuation, 2025 | Datasets, Expert and human data, Evaluations and benchmarks, Annotation | Its own programme | |
| 19 | Lightwheel | $145M | Money raised, disclosed | Datasets, Expert and human data, Evaluations and benchmarks, Annotation, Simulation | ||
| 20 | Encord | $90M | Money raised, disclosed | Labeling software, Annotation, Expert and human data, Datasets, Evaluations and benchmarks | ||
| 21 | Patronus AI | $70M | Money raised, disclosed | RL environments, Datasets, Expert and human data, Evaluations and benchmarks, Simulation | Through our introductions | |
| 22 | Sama | $70M | Money raised, disclosed | Expert and human data, Annotation, Evaluations and benchmarks | ||
| 23 | CloudFactory | $65M | Money raised, disclosed | Datasets, Annotation, Expert and human data, Evaluations and benchmarks | ||
| 24 | Defined.ai | $62.3M | Money raised, disclosed | Datasets, Expert and human data, Annotation, Evaluations and benchmarks | Its own programme | |
| 25 | Centific | $60M | Money raised, disclosed | RL environments, Datasets, Expert and human data, Evaluations and benchmarks, Annotation | Its own programme | |
| 26 | David AI | $50M | Money raised, disclosed | Datasets, Expert and human data, Evaluations and benchmarks | ||
| 27 | SuperAnnotate | $49.5M | Money raised, disclosed | Labeling software, Expert and human data, RL environments, Evaluations and benchmarks, Annotation, Datasets | Its own programme | |
| 28 | Kili Technology | $32M | Money raised, disclosed | Labeling software, Annotation, Expert and human data, Evaluations and benchmarks | ||
| 29 | Luel | $31.2M | Money raised, disclosed | Datasets, Expert and human data, Evaluations and benchmarks, Annotation | ||
| 30 | Maxinsights | $30M | Money raised, disclosed | Expert and human data, Evaluations and benchmarks, Annotation, Simulation | ||
| 31 | Deccan AI | $25M | Money raised, disclosed | RL environments, Datasets, Expert and human data, Evaluations and benchmarks, Annotation | ||
| 32 | iMerit | $23.5M | Money raised, disclosed | Labeling software, Expert and human data, Evaluations and benchmarks, Annotation, Datasets | ||
| 33 | Taste Labs | $18.5M | Money raised, disclosed | Expert and human data | ||
| 34 | Datacurve | $15M | Money raised, disclosed | RL environments, Datasets, Expert and human data, Evaluations and benchmarks, Annotation | Its own programme | |
| 35 | Midcentury | $15M | Money raised, disclosed | Datasets, Expert and human data, Simulation, Evaluations and benchmarks, Annotation | ||
| 36 | Chakra Labs | $10.1M | Money raised, disclosed | RL environments, Expert and human data, Evaluations and benchmarks, Datasets | ||
| 37 | Perle AI | $9M | Money raised, disclosed | Datasets, Expert and human data, Evaluations and benchmarks, Annotation | ||
| 38 | Human Archive | $8.2M | Money raised, disclosed | Datasets, Expert and human data, Annotation | ||
| 39 | VisionLab AI | $6M | Money raised, disclosed | Datasets, Annotation, Expert and human data | ||
| 40 | Good Start Labs | $3.6M | Money raised, disclosed | RL environments, Datasets, Expert and human data, Evaluations and benchmarks, Annotation | ||
| 41 | Poindexter Labs | $2.7M | Money raised, disclosed | Datasets, Expert and human data, Evaluations and benchmarks, Annotation |
6thSense, Abundant, Align AI, Anolytics, Anthromind, Aptura, Asimov, BasicAI, Besimple AI, Claru, CleverX, Cogito Tech, Contra Labs, Cortex AI, Cua, Datoric, Dissei, e2f, Enact, Fleet, Foundry AI, Hillclimb, Hitech BPO, Humyn Labs, Huzzle Labs, isahit, Karya, Keymakr, Labellerr, LightWrk, LXT, Markov, Metaphi, Mind Lab, Miso Motion, Olam Labs, OpenTrain AI, Paper Instruments, Pareto, Parsewave, Polymath, ReasonCore, Refresh, Revelo, Rise Data Labs, Sepal AI, Shaip, Theta, TrainAI by RWS, Traverse, Uber AI Solutions, Unidata, V7, Verita AI, Vetto AI, Welocalize, Zeton.
- Who is a competitor.
- A company whose own pages, read word for word, say it sells at least two of the things Taste 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 Taste Labs and its competitors, each linked to its record.
- 5 Nov 2026Innodata reported $350M revenue (12 months to Sep 2026)
- 4 Nov 2026TaskUs reported $250M revenue (12 months to Sep 2026, AI Services)
- 22 Oct 2026Maxinsights raised $30M
- 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)
- 7 Oct 2026Mecka raised $60M
- 7 Oct 2026Mecka reported $100M revenue (run rate, Jun 2026)
The questions people ask
- Who are Taste Labs' competitors?
- 97 companies on our register sell expert and human data, as Taste Labs does. 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). Taste Labs is #33 of the 41 with money on record, on $18.5M raised.
- Who is Taste Labs' biggest competitor?
- Mercor, by the money on record: $2B (run rate, Jun 2026), against Taste Labs' $18.5M raised. Mercor sells expert and human data, as Taste Labs does.
- Which of Taste Labs' competitors buy data from companies?
- 18 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, Wirestock and others.
Where Taste Labs ranks
Its place on each list of the market it belongs to, by the same rule.