
AfterQuery Stock
| Valuation | $3.2B1 |
| Valuation Date | Sep 1, 2026 |
| Implied Valuation | n/a |
| Last Price | n/a |
| 52-Week High | n/a |
| 52-Week Low | n/a |
| YTD Return | n/a |
| 1-Year Return | n/a |
| 3-Year Return | n/a |
| Total Funding | $83.19M |
| Latest Round Amount | n/a |
| Latest Round | Series B |
| Funding Rounds | 4 |
| IPO Status | Unknown |
| Expected IPO Date | n/a |
| Revenue | n/a |
| Revenue Type | n/a |
| P/S Ratio | n/a |
About AfterQuery
AfterQuery is an applied research lab that builds expert-curated training datasets and reinforcement learning environments for frontier AI models. It works with domain experts in fields such as software engineering, finance, medicine and law to capture how professionals actually reason through tasks. The company then turns that work into supervised fine-tuning data, rubric-based RL, tool-calling environments and computer-use trajectories. AfterQuery makes money by selling these datasets, custom evaluations and enterprise data programs to AI labs and companies.
Invest in AfterQuery
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News
Post-Training NVIDIA Nemotron 3.5 Super VL for Finance: More Accurate, Cost-Efficient Financial Credit Analysis
AfterQuery described post-training NVIDIA Nemotron 3.5 Super VL on financial credit workflows, reporting improved accuracy and lower inference cost versus baseline models.
AfterQuery Becomes YC’s Fastest Unicorn At $3.2 Billion
Forbes reported AfterQuery reached a $3.2 billion valuation, more than 10 times the $300 million Series A mark from April. Y Combinator partner Gustaf Alströmer said that would be the fastest path fro...
AfterQuery reportedly becomes Y Combinator's fastest-ever unicorn, now valued at $3.2B
TechCrunch reported AfterQuery raised a round valuing the AI training-data startup at $3.2 billion, five months after a $30 million Series A at $300 million. The company could not be immediately reach...
Building a Frontier Legal Evaluation in Partnership with Legora
AfterQuery and Legora built the Benchmark for Agentic Reasoning, covering 5,161 cases across 28 practice areas. Legora said harness changes informed by the benchmark raised output quality 5% in one mo...
AfterQuery Celebrates the Release of Motif 3 and Served as Sole Data Partner
AfterQuery said it was the sole data partner for Motif Technologies' Motif 3, a 314-billion-parameter open-weight Korean model trained with NVIDIA NeMo-RL.
How AfterQuery Helped NVIDIA Hill-Climb GDPval
AfterQuery said NVIDIA used its office-agent training dataset as the only named data partner in the Nemotron 3 Ultra technical report to improve GDPval scores.
How we achieved a net win-loss margin of +21.4% on GDPval with on-policy distillation
AfterQuery researchers said on-policy distillation on its office-agent dataset raised Nemotron and Qwen students' GDPval win-loss margins by about 21% versus the base models.
Solving the Last Mile Problem in Partnership with The Raine Group
AfterQuery partnered with The Raine Group to build Raine Search, a semantic search tool over the firm's precedent library using AfterQuery Atlas.
AfterQuery Raises $30 Million Series A Round at $300 Million Valuation
AfterQuery announced a $30 million Series A at a $300 million valuation led by Altos Ventures, with The Raine Group, Y Combinator and BoxGroup participating. The company said it had surpassed a $100 m...
How We Improved Terminal-Bench 2.0 Scores by Over 5x Using Tinker and Harbor
AfterQuery researchers said a two-stage post-training pipeline raised openai/gpt-oss-20b from 3.1% to 17.0% on Terminal-Bench 2.0 without training on the official eval set.


