Athina AI

For developers and AI teams building LLM applications, Athina helps investigate unreliable responses and track how systems perform in production. It captures traces of model calls and application steps, making it easier to review inputs and outputs, debug RAG pipelines, and monitor usage, latency, and token costs. Teams can run evaluations on test datasets or production logs to check response quality, faithfulness, and other criteria. Athina includes preset evaluation metrics and supports custom evaluators, including LLM-based checks and Python functions. Dashboards let teams compare results over time and across prompts, models, or user segments, helping them spot regressions and decide what to improve.

Disclaimer: WebCatalog is not affiliated, associated, authorized, endorsed by or in any way officially connected to Athina AI. All product names, logos, and brands are property of their respective owners.