Updated 8 Nov 2026
Best data labeling platforms in 2026, ranked by revenue.
The largest data labeling platforms by revenue on record are Scale AI ($870M, FY2024), Innodata ($350M, 12 months to Sep 2026) and Appen ($249M, 12 months to Jun 2026). Then, by money raised: Encord ($90M) and Roboflow ($60M). They sell the software a team labels, annotates and reviews its own training data in, whether or not they also label it for you.
20 companies on our register say on their own pages that they sell labeling software. 14 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 labeling software, data annotation tools.
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Companies that label data for you: the best data labeling companies
The largest data labeling platforms by revenue
The 3 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)
- 27 Oct 2026CVAT raised $2M
- 27 Aug 2026Appen reported $249M revenue (12 months to Jun 2026)
- 24 Jun 2026iMerit was acquired by EXL (ExlService Holdings) for $310M
- 26 Feb 2026Encord raised $60M
- 17 Dec 2025Dataloop was acquired by Dell Technologies for $120M
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 medicalScale AI, $870M (FY2024): the largest of the 8 here that work on medical.
- Best for roboticsScale AI, $870M (FY2024): the largest of the 8 here that work on robotics.
- Best for business workScale AI, $870M (FY2024): the largest of the 6 here that work on business work.
- Best for codingScale AI, $870M (FY2024): the largest of the 5 here that work on coding.
- Best for images and videoInnodata, $350M (12 months to Sep 2026): the largest of the 12 here that work on images and video.
- Best for speech and audioInnodata, $350M (12 months to Sep 2026): the largest of the 7 here that work on speech and audio.
- Best for languagesInnodata, $350M (12 months to Sep 2026): the largest of the 5 here that work on languages.
- Best for financeAppen, $249M (12 months to Jun 2026): the largest of the 4 here that work on finance.
- Best for scienceAppen, $249M (12 months to Jun 2026): the largest of the 3 here that work on science.
The ranking: 14 data labeling platforms
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 | Scale AI | $870M | Revenue, FY2024 | $29B | Coding, Computer use, Business work, Robotics | Through our introductions |
| 2 | Innodata | $350M | Revenue, 12 months to Sep 2026 | Coding, Business work, Medical, Robotics | ||
| 3 | Appen | $249M | Revenue, 12 months to Jun 2026 | Coding, Business work, Finance, Legal | Its own programme | |
| 4 | Encord | $90M | Money raised, disclosed | Images and video, Robotics, Medical, Business work | ||
| 5 | Roboflow | $60M | Money raised, disclosed | Images and video | ||
| 6 | SuperAnnotate | $49.5M | Money raised, disclosed | Coding, Computer use, Business work, Finance | Its own programme | |
| 7 | Voxel51 | $42.5M | Money raised, disclosed | Images and video | ||
| 8 | Dataloop | $33M | Money raised, disclosed | Images and video | ||
| 9 | Kili Technology | $32M | Money raised, disclosed | Images and video, Speech and audio, Languages, Medical | ||
| 10 | HumanSignal | $25M | Money raised, disclosed | Robotics, Languages, Medical | ||
| 11 | iMerit | $23.5M | Money raised, disclosed | Coding, Business work, Finance, Medical | ||
| 12 | Lightly | $3M | Money raised, disclosed | Images and video | ||
| 13 | CVAT | $2M | Money raised, disclosed | Images and video, Speech and audio | ||
| 14 | Segments.ai | $1.1M | Money raised, disclosed | Robotics, Images and video |
- 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-platforms/ followed by the company's id in its page's address, as in Scale 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 platforms?
By the money on record, the largest are Scale AI ($870M revenue, FY2024), Innodata ($350M revenue, 12 months to Sep 2026) and Appen ($249M revenue, 12 months to Jun 2026). AIData.Broker ranks all 20 data labeling platforms on its register, the companies whose own pages say they sell labeling software, 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 platforms?
- By the money on record: Scale AI, $870M (FY2024); Innodata, $350M (12 months to Sep 2026); Appen, $249M (12 months to Jun 2026). 3 of the 20 on the list have revenue on record; the others are ranked on their valuation or the money they raised.
- Which data labeling platforms buy data from companies?
- 3 of them take data from companies that hold it, on a published programme or in their own words: Scale AI, Appen and SuperAnnotate. A company holding such data can value it free and be introduced to every one whose rules take it.
- How many data labeling platforms are there?
- 20 companies on our register say on their own pages that they sell labeling software. 14 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
- 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 platforms in 2026, ranked by revenue”, reviewed 8 Nov 2026. https://aidata.broker/best/data-labeling-platforms
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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