curraiAI observability platform
AI observability for teams shipping production LLM apps
Currai gives product and engineering teams one place to inspect traces, measure quality, compare prompts, and monitor the cost of AI features 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.
- Measure quality with eval scores and prompt A/B tests.
- 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 traffic, identify weak outputs, test a prompt or model change, and ship the version that improves quality without raising latency or cost too much.
