AI observability platform
AI observability for teams shipping production LLM apps
Currai gives product and engineering teams one place to understand user conversations, inspect supporting traces, and monitor AI behavior in production.
A production view of AI behavior
AI systems fail differently from normal software: output quality drifts, prompts regress silently, and the same endpoint can trigger model calls, tools, retrieval, and retries.
Currai records that behavior as structured traces so you can search, inspect, and compare the actual requests your users are sending.
- Inspect production prompts, responses, and tool calls.
- Group recurring friction into evidence-backed user stories.
- Track latency, token usage, and model cost together.
Built for the AI engineering loop
Currai is designed for the cycle teams repeat every week: observe real conversations, identify recurring friction and demand, inspect the underlying evidence, and ship focused improvements.
