Research
Reference-free evaluation lets you score agent quality when you do not have labelled answers.
A practical framework for detecting and tracking hallucinations once your agent is live.
We raised $40M to build the trust layer for AI-native products. Here is what is next.
A look inside the scheduling, caching, and routing work that took our median agent response time below the 100ms threshold — and what it unlocks for real-time products.
How we cut tool-call failures by 9× with typed schemas and retries.
Following a single request as it fans out across a swarm of cooperating agents.
Backpressure, flush cadence, and the 41ms p95 we hold in production.
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