What is the difference between Toloka and Scale AI?

Toloka provides curated data, RL environments and evaluations, made with human experts, for AI agents and models. Scale AI provides training data, RL environments, and model evaluations to AI labs, governments, and enterprises. Both sell RL environments, datasets, expert and human data, evaluations and benchmarks and annotation. Only Scale AI sells labeling software and simulation.

Which raised more money, Toloka or Scale AI?

Toloka: $72M disclosed. Scale AI: $15.3B disclosed, valued at $29B (2025).

Do Toloka and Scale AI buy data from companies?

Toloka does not say it buys data from companies. Scale AI takes data from the companies that hold it, through a published programme.

Updated 8 Nov 2026

Toloka vs Scale AI, by the numbers.

By revenue, Scale AI is the larger: $870M (FY2024), against Toloka's $26.4M (FY2024).

Both sell RL environments, datasets, expert and human data, evaluations and benchmarks and annotation. Only Scale AI sells labeling software and 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.

Toloka and Scale AI compared on revenue, valuation, funding and what each sells
	Toloka	Scale AI
	Toloka	Scale AI
Place on the rankings	#18 of 78	#5 of 78
Ranked on	$26.4M Revenue, FY2024	$870M Revenue, FY2024
Revenue, twelve months	$26.4M FY2024 over time	$870M FY2024 over time
Newest valuation	Not on record	$29B Jun 2025
Disclosed funding	$72M in 1 record	$15.3B in 2 records
Sells	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, Computer use, Business work, Finance, Legal, Medical, Science, Math, Security, Robotics, Images and video, Creative, Languages	Coding, Computer use, Business work, Robotics, Medical
Made from	Recorded from people and the real world, Made by experts and contractors, Generated	Made by experts and contractors, Replicas of real software
Takes data from companies	Does not say so	Through our introductions
Headquarters	Amsterdam, Netherlands	San Francisco, California, US
Founded	2014	2016
In its own words	“Toloka is a provider of expertly curated data for AI agents and models development.” 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 Toloka 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.

What Toloka and Scale AI publish about buying a company's data
	Toloka	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.

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On the same rankings

The lists both are ranked on, with each one's place.

Computer-use agent data companiesToloka #5, Scale AI #1 of 17
Robotics training data companiesToloka #6, Scale AI #1 of 31
Best data labeling companiesToloka #9, Scale AI #2 of 40
Medical AI training data companiesToloka #11, Scale AI #4 of 26
RL environment companiesToloka #12, Scale AI #5 of 36
Coding data companies for AIToloka #14, Scale AI #5 of 33
Best AI data labs and human data companiesToloka #16, Scale AI #5 of 41
AI evaluation companiesToloka #16, Scale AI #5 of 60
Best AI training data providersToloka #17, Scale AI #4 of 53

The latest money moves

The newest rounds, valuations and revenue figures of the two, each linked to its record.

12 Jun 2025Scale AI raised $14.3B at a $29B valuation
8 Jun 2025Scale AI reported $870M revenue (FY2024)
7 May 2025Toloka raised $72M
30 Apr 2025Toloka reported $26.4M revenue (FY2024)
21 May 2024Scale AI raised $1B at a $13.8B valuation

The questions people ask

Is Toloka bigger than Scale AI?: By revenue, Scale AI is the larger: $870M (FY2024), against Toloka's $26.4M (FY2024).
What is the difference between Toloka and Scale AI?: Toloka provides curated data, RL environments and evaluations, made with human experts, for AI agents and models. Scale AI provides training data, RL environments, and model evaluations to AI labs, governments, and enterprises. Both sell RL environments, datasets, expert and human data, evaluations and benchmarks and annotation. Only Scale AI sells labeling software and simulation.
Which raised more money, Toloka or Scale AI?: Toloka: $72M disclosed. Scale AI: $15.3B disclosed, valued at $29B (2025).
Do Toloka and Scale AI buy data from companies?: Toloka does not say it buys data from companies. Scale AI takes data from the companies that hold it, through a published programme.

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