AfterQuery becomes YC's fastest-ever unicorn at $3.2B valuation
AI training-data startup AfterQuery raised at a $3.2B valuation, 10x up in five months and YC's fastest-ever launch-to-unicorn. Founders are 22 and 23; ~$100M annualized revenue.
Based on reporting by TechCrunch — analysis by dalili
AI training-data startup AfterQuery has reportedly raised a round that valued it at $3.2 billion. This just five months after announcing its $30 million Series A at a $300 million valuation in April.
That's more than a 10x increase in less than half a year and, according to Y Combinator partner Gustaf Alströmer, the fastest that any startup has gone from launch to unicorn status in the accelerator's history. AfterQuery's founders, today 22 and 23 years old, attended Y Combinator's Winter 2025 cohort, just 18 months ago.
In April, the San Francisco startup said it had reached an annualized revenue run rate of $100 million and that it was working with many of the biggest labs. It has named companies such as Nvidia, Legora, and the Korean AI lab Motif Technologies as customers.
AfterQuery is among the new crop of startups following in the footsteps of Mercor and Scale that employ knowledge professionals like doctors, lawyers, and other specialists to do model training. However, rather than ensuring that models answer questions accurately, AfterQuery trains models and agents on how to work like professionals would to complete tasks — what the company describes as 'encoding the patterns, decisions, and reasoning of the world's best practitioners.'
Key takeaways
- $3.2B valuation — 10x increase in 5 months from $300M
- Fastest startup to unicorn in YC history
- Founders are 22 and 23 years old, YC W25 cohort
- $100M annualized revenue run rate
- Customers include Nvidia, Legora, Motif Technologies
- Trains AI models on professional task-completion patterns
Why it matters
The AI training data space is exploding. AfterQuery's 10x valuation jump in 5 months signals massive demand for professional-quality training data as labs race to build more capable agents.