AfterQuery — Expert-generated AI training data and RL environments (doctors, lawyers, engineers, finance specialists) for frontier and enterprise AI labs.. Pricing model: Enterprise contracts for custom data/RL environments (project or volume based; not public). Value metric: unknown.
At a glance
| Company | AfterQuery |
|---|---|
| What it does | Expert-generated AI training data and RL environments (doctors, lawyers, engineers, finance specialists) for frontier and enterprise AI labs. |
| Headquarters | San Francisco, USA (YC W25; HQ not confirmed in sources) |
| Pricing model | Enterprise contracts for custom data/RL environments (project or volume based; not public) |
| Value metric | unknown |
| Pricing page | unknown (no public pricing; https://www.afterquery.com) |
Plans and prices
No public tiers.
Growth milestones
AfterQuery appears in our analysis of 2026's $100M ARR class. Figures are company-reported unless stated.
- 2026-04-10: Said it surpassed a $100M annualised revenue run rate ~14 months after launch; $30M Series A at $300M valuation. (source)
- 2026-09-01: Reported (Forbes, confirmed by TechCrunch) at a $3.2B valuation, YC's fastest-ever unicorn; profitable; customers incl. Nvidia, Legora, Thinking Machines Lab. (source)
How it grows
Founder-led sales to a small number of AI labs with very large budgets; expert-network supply side; reputation via named model customers (Nvidia Nemotron).
What you can steal
product/market fit
Sell picks and shovels to the fastest-spending buyers in a boom: a few customers with urgent needs can carry early revenue.
moats
Audience: a vetted network of scarce experts is hard to replicate and becomes the moat.
Sources
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Robert Coorey, MBA
Robert is the author of The Subscription Playbook and Feed a Starving Crowd and a Director at BPAG Accountants in Sydney. More about Robert.