Updated 8 Nov 2026
Innodata vs Scale AI, by the numbers.
By revenue, Scale AI is the larger: $870M (FY2024), against Innodata's $350M (12 months to Sep 2026). Scale AI's figure is the older by 21 months; no later one is on record.
Both sell labeling software, RL environments, datasets, expert and human data, evaluations and benchmarks and annotation. Only Scale AI sells simulation. 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.
| Innodata | Scale AI | |
|---|---|---|
| Innodata | Scale AI | |
| Place on the rankings | #8 of 78 | #5 of 78 |
| Ranked on | $350M Revenue, 12 months to Sep 2026 | $870M Revenue, FY2024 |
| Revenue, twelve months | $350M 12 months to Sep 2026 over time | $870M FY2024 over time |
| Newest valuation | Not on record | $29B Jun 2025 |
| Disclosed funding | Not on record | $15.3B in 2 records |
| Sells | Labeling software, RL environments, Datasets, Expert and human data, Evaluations and benchmarks, Annotation | Labeling software, RL environments, Datasets, Expert and human data, Evaluations and benchmarks, Annotation, Simulation |
| Works on | Coding, Business work, Medical, Robotics, Images and video, Speech and audio, Languages | Coding, Computer use, Business work, Robotics, Medical |
| Made from | Made by experts and contractors, Recorded from people and the real world | Made by experts and contractors, Replicas of real software |
| Takes data from companies | Does not say so | Through our introductions |
| Headquarters | Ridgefield Park, NJ | San Francisco, California, US |
| Founded | 1988 | 2016 |
| In its own words | “Seven of the world’s largest tech companies trust Innodata for fine-tuning and red teaming.” Its page | “Scale delivers proven data, evaluations, and outcomes to AI labs, governments, and the Fortune 500.” 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 Innodata or Scale AI
What each says it pays a company for its data, what it wants and when it pays, in its own published terms.
| Innodata | Scale AI | |
|---|---|---|
| Takes data from companies | Does not say so | Through our introductions |
| What it says it pays | Not published | $10K to $1M Scale AI, data partnership page, 7 Nov 2026 |
| What it wants | Not published | Structured, de-identified records from data warehouses, chat, email, documents, work tools and business platforms. |
| When it pays | Not published | Not published. A scoping call first; a partnership can begin with a very limited scope. |
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.
- Best data labeling platformsInnodata #2, Scale AI #1 of 14
- Robotics training data companiesInnodata #2, Scale AI #1 of 31
- Best data labeling companiesInnodata #5, Scale AI #2 of 40
- Medical AI training data companiesInnodata #6, Scale AI #4 of 26
- RL environment companiesInnodata #7, Scale AI #5 of 36
- Best AI training data providersInnodata #7, Scale AI #4 of 53
- Coding data companies for AIInnodata #8, Scale AI #5 of 33
- Best AI data labs and human data companiesInnodata #8, Scale AI #5 of 41
- AI evaluation companiesInnodata #8, Scale AI #5 of 60
The latest money moves
The newest rounds, valuations and revenue figures of the two, each linked to its record.
- 5 Nov 2026Innodata reported $350M revenue (12 months to Sep 2026)
- 12 Jun 2025Scale AI raised $14.3B at a $29B valuation
- 8 Jun 2025Scale AI reported $870M revenue (FY2024)
- 21 May 2024Scale AI raised $1B at a $13.8B valuation
The questions people ask
- Is Innodata bigger than Scale AI?
- By revenue, Scale AI is the larger: $870M (FY2024), against Innodata's $350M (12 months to Sep 2026). Scale AI's figure is the older by 21 months; no later one is on record.
- What is the difference between Innodata and Scale AI?
- Innodata sells AI training datasets, data annotation, model evaluations and RL environments to companies building AI models. Scale AI provides training data, RL environments, and model evaluations to AI labs, governments, and enterprises. Both sell labeling software, RL environments, datasets, expert and human data, evaluations and benchmarks and annotation. Only Scale AI sells simulation.
- Which raised more money, Innodata or Scale AI?
- Innodata: no disclosed round on record. Scale AI: $15.3B disclosed, valued at $29B (2025).
- Do Innodata and Scale AI buy data from companies?
- Innodata does not say it buys data from companies. Scale AI takes data from the companies that hold it, through a published programme.
More comparisons
Each company against its whole field, and the other comparisons people search.
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- Scale AI competitors, ranked
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