01

The problem we care about

Production AI quality cannot be inferred from demo conversations. A polished answer does not prove retrieval worked, a task was completed, or that claims are supported.

02

What we believe

AI systems should be evaluated by evidence, not vibes. Systematic evaluation with transparent scoring is how teams ship with confidence.

03

Why evaluation needs more than pass/fail

Aggregate green checks do not expose failure categories, evidence chains, execution traces, or the reasons a case failed. Teams need structured insight, not a single score.

04

What ASHE is designed to do

ASHE generates evaluation scenarios, executes them against your system, judges outcomes with frontier model capabilities, and produces reports with weighted scoring and case-level evidence.