Data Science
Agents need to know when data is stale, biased, incomplete, or too thin to support a conclusion.
AI Evaluation Infrastructure
RL Environment
Test your agent's judgement before it costs you
Today's agents have no judgement. We study the cracks: the flat-out wrong answers, the missed signals, the quiet moments where intelligence needs judgment.
1,000+applicable datasets
95%of the time agents make judgement errors
$1,000cost of an average error
4judgement failure modes turned into tests
What agents miss
Bad outcomes start with bad judgement.
The goal is not just fewer wrong answers. It is better decisions. AI judgement is the difference between producing an answer and understanding why that answer matters.
Use Cases
Where poor judgement becomes real-world cost
Quantitative Business Decisions
Forecasts, pricing, hiring, budgets, and growth decisions all depend on judgement under uncertainty.
Operations & Logistics
Routing, scheduling, staffing, and supply chains require judgement when conditions change.
Legal & Compliance
Agents need to know when context is missing, rules conflict, or escalation is safer than action.
About Us
Built by ML Leaders
Asapi is led by builders and researchers from frontier AI, applied ML, and company building. We are creating the tests that help future systems become useful, careful, and worthy of trust.
Founder, CEO
Dr. Qingchen Wang
- Prev. VC-backed founder
- Kaggle Grandmaster
- Former Prof. at Univ of Hong Kong
Founding Advisor
Dr. Stefano Ermon
- Prof. at Stanford Univ.
- Inventor of Diffusion Models
- Founder of Inception Labs