Updated 8 Nov 2026

AfterQuery vs Scale AI, by the numbers.

By revenue, Scale AI is the larger: $870M (FY2024), against AfterQuery's $100M (run rate, Apr 2026). Scale AI's figure is the older by 16 months; no later one is on record.

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

AfterQuery and Scale AI compared on revenue, valuation, funding and what each sells
AfterQueryScale AI
AfterQueryScale AI
Place on the rankings#14 of 78#5 of 78
Ranked on$100M Revenue, run rate, Apr 2026$870M Revenue, FY2024
Revenue, twelve months$100M run rate, Apr 2026 over time$870M FY2024 over time
Newest valuation$3.2B Sep 2026$29B Jun 2025
Disclosed funding$30M in 1 record$15.3B in 2 records
SellsRL environments, Datasets, Expert and human data, Evaluations and benchmarksLabeling software, RL environments, Datasets, Expert and human data, Evaluations and benchmarks, Annotation, Simulation
Works onCoding, Computer use, Business work, Finance, Legal, Medical, Science, Speech and audio, Images and video, LanguagesCoding, Computer use, Business work, Robotics, Medical
Made fromMade by experts and contractors, Recorded from people and the real world, Generated, The client's own dataMade by experts and contractors, Replicas of real software
Takes data from companiesThrough our introductionsThrough our introductions
HeadquartersSan Francisco, CASan Francisco, California, US
Founded20252016
In its own words“AfterQuery is an applied research lab curating data solutions for frontier foundation model 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 AfterQuery 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 AfterQuery and Scale AI publish about buying a company's data
AfterQueryScale AI
Takes data from companiesThrough our introductionsThrough our introductions
What it says it paysNot published$10K to $1M Scale AI, data partnership page, 7 Nov 2026
What it wants"Records of how teams actually work across their tools: email, chat, tickets, CRM, support, finance and more, usually over several years. Industry systems and legacy tools count too."Structured, de-identified records from data warehouses, chat, email, documents, work tools and business platforms.
When it paysPayment is the last of its six steps, after transfer and de-identification ("06 Payment Payment and ongoing partnership"), with no schedule or number of days published. It says it is "Usually a few weeks from first form to signed agreement".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.

The latest money moves

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

The questions people ask

Is AfterQuery bigger than Scale AI?
By revenue, Scale AI is the larger: $870M (FY2024), against AfterQuery's $100M (run rate, Apr 2026). Scale AI's figure is the older by 16 months; no later one is on record.
What is the difference between AfterQuery and Scale AI?
AfterQuery sells expert-built training data, RL environments, and custom evaluations to frontier AI labs and enterprises. 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 and evaluations and benchmarks. Only Scale AI sells labeling software, annotation and simulation.
Which raised more money, AfterQuery or Scale AI?
AfterQuery: $30M disclosed, valued at $3.2B (2026). Scale AI: $15.3B disclosed, valued at $29B (2025).
Do AfterQuery and Scale AI buy data from companies?
AfterQuery takes data from the companies that hold it, through a published programme. Scale AI takes data from the companies that hold it, through a published programme.

These companies buy and build the data AI is trained on. See what yours is worth to them.