Updated 8 Nov 2026
SuperAnnotate vs Labelbox, by the numbers.
Labelbox ranks higher by the money on record: its valuation is on record, $1.3B (2026), and SuperAnnotate's is not, so SuperAnnotate is ranked on $49.5M raised.
Both sell expert and human data, RL environments and evaluations and benchmarks. Only SuperAnnotate sells labeling software, annotation and datasets. Every figure below is linked to the filing or article it comes from; what each sells is in its own words, from its own pages.
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Side by side
Revenue over twelve months, the newest valuation, disclosed funding and what each says it does.
| SuperAnnotate | Labelbox | |
|---|---|---|
| SuperAnnotate | Labelbox | |
| Place on the rankings | #35 of 78 | #21 of 78 |
| Ranked on | $49.5M Money raised, disclosed | $1.3B Valuation, 2026 |
| Revenue, twelve months | Not on record | Not on record |
| Newest valuation | Not on record | $1.3B Oct 2026 |
| Disclosed funding | $49.5M in 2 records | $100M in 1 record |
| Sells | Labeling software, Expert and human data, RL environments, Evaluations and benchmarks, Annotation, Datasets | RL environments, Expert and human data, Evaluations and benchmarks |
| Works on | Coding, Computer use, Business work, Finance, Legal, Medical, Science, Math, Robotics, Speech and audio, Images and video | Coding, Business work, Finance, Legal, Medical, Robotics, Speech and audio, Images and video |
| Made from | Made by experts and contractors | Recorded from people and the real world, Made by experts and contractors |
| Takes data from companies | Its own programme | Its own programme |
| Headquarters | Not on record | San Francisco, California, US |
| Founded | 2019 | 2018 |
| In its own words | “Give your models the expert human data they need – and simplify your AI development today.” Its page | “Labelbox builds the environments frontier labs train AI on, and the agents engineering and research teams hand their backlog to.” Its page |
- The rule.
- 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. The full method and every change to it.
- Twelve months.
- A run rate or ARR is the company's own annualised figure; a year is the year it published. Gross revenue of a human data company includes what it pays its experts.
- 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.
- Why this pair.
- People search for this comparison: Google suggests it, read on 8 Nov 2026. Neither company asked for or paid for this page.
Selling your company's data to SuperAnnotate or Labelbox
What each says it pays a company for its data, what it wants and when it pays, in its own published terms.
| SuperAnnotate | Labelbox | |
|---|---|---|
| Takes data from companies | Its own programme | Its own programme |
| What it says it pays | $100K to $1M SuperAnnotate, data partnerships page, 5 Nov 2026 | $50K to $1M Labelbox Prism, home page, 5 Nov 2026 |
| What it wants | Communications, process documents, decision trails, domain records and screen recordings. | Work documents (coding sessions, scientific and financial workflows, research traces) and operational systems (Salesforce, Jira, Slack, SAP, ServiceNow, Zendesk, CAD, financial workbooks). Its page marks financial and scientific reasoning traces and cross-system workflow data as urgent. |
| When it pays | "Payment on delivery, and on each relicense." | "From first call to first wire in under 21 days", with a written quote within 48 hours of scoping. It pays an upfront licensing fee at signing plus a revenue share on downstream use. |
You need not choose one: AIData.Broker values a company's data free and introduces it to every buyer whose own rules take it. Value your data
On the same rankings
The lists both are ranked on, with each one's place.
- Speech and audio training data companiesSuperAnnotate #10, Labelbox #6 of 20
- Legal AI training data companiesSuperAnnotate #13, Labelbox #11 of 17
- Finance AI training data companiesSuperAnnotate #16, Labelbox #10 of 25
- Robotics training data companiesSuperAnnotate #17, Labelbox #8 of 31
- Video and image training data companiesSuperAnnotate #18, Labelbox #11 of 37
- Medical AI training data companiesSuperAnnotate #19, Labelbox #12 of 26
- Coding data companies for AISuperAnnotate #19, Labelbox #15 of 33
- RL environment companiesSuperAnnotate #19, Labelbox #15 of 36
- Best AI data labs and human data companiesSuperAnnotate #27, Labelbox #17 of 41
- AI evaluation companiesSuperAnnotate #32, Labelbox #19 of 60
The latest money moves
The newest rounds, valuations and revenue figures of the two, each linked to its record.
- 14 Oct 2026Labelbox raised $100M at a $1.3B valuation
- 10 Feb 2026Labelbox was acquired by Labelbox
- 15 Jul 2025SuperAnnotate raised $13.5M
- 18 Nov 2024SuperAnnotate raised $36M
The questions people ask
- Is SuperAnnotate bigger than Labelbox?
- Labelbox ranks higher by the money on record: its valuation is on record, $1.3B (2026), and SuperAnnotate's is not, so SuperAnnotate is ranked on $49.5M raised.
- What is the difference between SuperAnnotate and Labelbox?
- SuperAnnotate provides expert human data, annotation, evaluation, and RL environment services to companies building AI models. Labelbox builds the environments and expert data frontier AI labs train on, and AI agents for engineering and research teams. Both sell expert and human data, RL environments and evaluations and benchmarks. Only SuperAnnotate sells labeling software, annotation and datasets.
- Which raised more money, SuperAnnotate or Labelbox?
- SuperAnnotate: $49.5M disclosed. Labelbox: $100M disclosed, valued at $1.3B (2026).
- Do SuperAnnotate and Labelbox buy data from companies?
- SuperAnnotate takes data from the companies that hold it, through a published programme. Labelbox takes data from the companies that hold it, through a published programme.
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