Updated 8 Nov 2026
Best data labeling companies in 2026, ranked by revenue.
The largest data labeling companies by revenue on record are Handshake AI ($1B, run rate, Aug 2026), Scale AI ($870M, FY2024), Prolific ($500M, run rate, May 2026), Snorkel AI ($375M, run rate, Sep 2026) and Innodata ($350M, 12 months to Sep 2026). They label, annotate and review data for AI teams, with their own workforce, a platform, or both.
77 companies on our register say on their own pages that they sell annotation. 40 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 data annotation companies, data labelling companies.
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Software your own team labels data in: the best data labeling platforms
The largest data labeling companies by revenue
The 9 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.
- 5 Nov 2026Innodata reported $350M revenue (12 months to Sep 2026)
- 4 Nov 2026TaskUs reported $250M revenue (12 months to Sep 2026, AI Services)
- 27 Oct 2026CVAT raised $2M
- 22 Oct 2026Maxinsights raised $30M
- 23 Sep 2026Midcentury raised $15M
- 22 Sep 2026Snorkel AI raised $350M at a $3.5B valuation
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 images and videoHandshake AI, $1B (run rate, Aug 2026): the largest of the 27 here that work on images and video.
- Best for business workHandshake AI, $1B (run rate, Aug 2026): the largest of the 18 here that work on business work.
- Best for codingHandshake AI, $1B (run rate, Aug 2026): the largest of the 13 here that work on coding.
- Best for financeHandshake AI, $1B (run rate, Aug 2026): the largest of the 12 here that work on finance.
- Best for legalHandshake AI, $1B (run rate, Aug 2026): the largest of the 8 here that work on legal.
- Best for scienceHandshake AI, $1B (run rate, Aug 2026): the largest of the 7 here that work on science.
- Best for roboticsScale AI, $870M (FY2024): the largest of the 26 here that work on robotics.
- Best for medicalScale AI, $870M (FY2024): the largest of the 17 here that work on medical.
- Best for computer useScale AI, $870M (FY2024): the largest of the 6 here that work on computer use.
- Best for languagesProlific, $500M (run rate, May 2026): the largest of the 14 here that work on languages.
- Best for speech and audioInnodata, $350M (12 months to Sep 2026): the largest of the 14 here that work on speech and audio.
- Best for securityToloka, $26.4M (FY2024): the largest of the 4 here that work on security.
- Best for mathToloka, $26.4M (FY2024): the largest of the 3 here that work on math.
The ranking: 40 data labeling 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 | Works on | Pays companies for data |
|---|---|---|---|---|---|---|
| 1 | Handshake AI | $1B | Revenue, run rate, Aug 2026 | $3.5B | Coding, Business work, Finance, Legal | Through our introductions |
| 2 | Scale AI | $870M | Revenue, FY2024 | $29B | Coding, Computer use, Business work, Robotics | Through our introductions |
| 3 | Prolific | $500M | Revenue, run rate, May 2026 | Coding, Medical, Languages | ||
| 4 | Snorkel AI | $375M | Revenue, run rate, Sep 2026 | $3.5B | Coding, Computer use, Business work, Legal | |
| 5 | Innodata | $350M | Revenue, 12 months to Sep 2026 | Coding, Business work, Medical, Robotics | ||
| 6 | TaskUs | $250M | Revenue, 12 months to Sep 2026 (AI Services) | Business work, Medical, Robotics, Images and video | ||
| 7 | Appen | $249M | Revenue, 12 months to Jun 2026 | Coding, Business work, Finance, Legal | Its own programme | |
| 8 | Invisible Technologies | $134M | Revenue, FY2024 | $2B | Coding, Finance, Legal, Business work | |
| 9 | Toloka | $26.4M | Revenue, FY2024 | Coding, Computer use, Business work, Finance | ||
| 10 | Applied Intuition | $15B | Valuation, 2025 | Robotics | ||
| 11 | Kled | $100M | Valuation, 2025 | Images and video, Medical | Its own programme | |
| 12 | Lightwheel | $145M | Money raised, disclosed | Robotics | ||
| 13 | Encord | $90M | Money raised, disclosed | Images and video, Robotics, Medical, Business work | ||
| 14 | Sama | $70M | Money raised, disclosed | Images and video, Robotics | ||
| 15 | XDOF | $70M | Money raised, disclosed | Robotics, Business work | ||
| 16 | CloudFactory | $65M | Money raised, disclosed | Business work, Medical, Robotics, Images and video | ||
| 17 | Defined.ai | $62.3M | Money raised, disclosed | Business work, Finance, Medical, Robotics | Its own programme | |
| 18 | Centific | $60M | Money raised, disclosed | Business work, Finance, Medical, Languages | Its own programme | |
| 19 | SuperAnnotate | $49.5M | Money raised, disclosed | Coding, Computer use, Business work, Finance | Its own programme | |
| 20 | Dataloop | $33M | Money raised, disclosed | Images and video | ||
| 21 | Kili Technology | $32M | Money raised, disclosed | Images and video, Speech and audio, Languages, Medical | ||
| 22 | Luel | $31.2M | Money raised, disclosed | Speech and audio, Computer use, Robotics, Images and video | ||
| 23 | Maxinsights | $30M | Money raised, disclosed | Robotics, Images and video | ||
| 24 | Deccan AI | $25M | Money raised, disclosed | Coding, Computer use, Business work, Finance | ||
| 25 | HumanSignal | $25M | Money raised, disclosed | Robotics, Languages, Medical | ||
| 26 | iMerit | $23.5M | Money raised, disclosed | Coding, Business work, Finance, Medical | ||
| 27 | Sapien | $15.5M | Money raised, disclosed | Security | ||
| 28 | Datacurve | $15M | Money raised, disclosed | Coding, Business work, Security | Its own programme | |
| 29 | Midcentury | $15M | Money raised, disclosed | Robotics, Images and video | ||
| 30 | Perle AI | $9M | Money raised, disclosed | Coding, Robotics, Legal, Medical | ||
| 31 | Human Archive | $8.2M | Money raised, disclosed | Robotics, Images and video, Speech and audio | ||
| 32 | clickworker | $6M | Money raised, disclosed | Images and video, Speech and audio | ||
| 33 | VisionLab AI | $6M | Money raised, disclosed | Robotics, Images and video | ||
| 34 | Latch | $5M | Money raised, disclosed | Science, Medical, Security | ||
| 35 | Troveo | $4.5M | Money raised, disclosed | Images and video, Speech and audio, Robotics, Games | Its own programme | |
| 36 | Macrodata Labs | $4M | Money raised, disclosed | Robotics, Images and video | ||
| 37 | Good Start Labs | $3.6M | Money raised, disclosed | |||
| 38 | Poindexter Labs | $2.7M | Money raised, disclosed | Finance, Legal | ||
| 39 | CVAT | $2M | Money raised, disclosed | Images and video, Speech and audio | ||
| 40 | Segments.ai | $1.1M | Money raised, disclosed | Robotics, Images and video |
Abaka AI, Anolytics, Asimov, BasicAI, Besimple AI, Claru, Cogito Tech, Cortex AI, Cua, DARE Labs, DataOcean AI, Datoric, Hitech BPO, Humans in the Loop, Humyn Labs, Huzzle Labs, isahit, Keymakr, Label Your Data, Labellerr, LightWrk, LXT, Markov, OpenTrain AI, Parsewave, ReasonCore, Rise Data Labs, Shaip, Sieve, Symbal, TELUS Digital, TrainAI by RWS, Uber AI Solutions, Unidata, V7, Vetto AI, Welocalize.
- 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/data-labeling-companies/ followed by the company's id in its page's address, as in Handshake AI'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.
The questions people ask · figures from the market's records, last reviewed 8 Nov 2026
What are the best data labeling companies?
By the money on record, the largest are Handshake AI ($1B revenue, run rate, Aug 2026), Scale AI ($870M revenue, FY2024) and Prolific ($500M revenue, run rate, May 2026). AIData.Broker ranks all 77 data labeling companies on its register, the companies whose own pages say they sell annotation, by twelve-month revenue, then valuation, then money raised, and every figure links to the filing or article that reported it.
More answers
- Which are the largest data labeling companies?
- By the money on record: Handshake AI, $1B (run rate, Aug 2026); Scale AI, $870M (FY2024); Prolific, $500M (run rate, May 2026). 9 of the 77 on the list have revenue on record; the others are ranked on their valuation or the money they raised.
- Is Scale AI the biggest of the data labeling companies?
- By valuation, yes: Scale AI was valued at $29B (Jun 2025). By revenue on record, Handshake AI is larger: $1B (run rate, Aug 2026), against $870M (FY2024) for Scale AI.
- Which data labeling companies buy data from companies?
- 13 of them take data from companies that hold it, on a published programme or in their own words: Handshake AI, Scale AI, Appen, Kled, Defined.ai, Centific, SuperAnnotate, Datacurve, Troveo and Abaka AI, and others in the table. A company holding such data can value it free and be introduced to every one whose rules take it.
- How many data labeling companies are there?
- 77 companies on our register say on their own pages that they sell annotation. 40 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 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
- Synthetic training data companiesLargest: Mercor
- Best AI data collection companiesLargest: Innodata
- Computer-use agent data companiesLargest: Scale AI
Cite this
AIData.Broker, “Best data labeling companies in 2026, ranked by revenue”, reviewed 8 Nov 2026. https://aidata.broker/best/data-labeling-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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