Athina AI

Athina AI unifies LLM observability and evaluation, offering 50+ preset evals, LLM-as-a-judge, full trace capture with replay, and segmented cost/latency analytics for AI teams.

Athina AI is an observability and experimentation platform built for teams shipping LLM applications. It pairs production monitoring with a robust evaluation framework so teams can measure and improve the performance and reliability of their AI systems in one place. On the evaluation side, Athina provides 50+ preset evaluations from providers like Ragas and Guardrails, plus custom evaluations using LLM-as-a-judge or Python functions, human annotation with QA-team workflows, and side-by-side dataset comparison with SQL. For production, it captures full LLM traces with execution replay, runs continuous online evaluation, and offers segmented analytics across prompts, models, topics, and customer segments, along with cost and latency tracking. For larger organizations, Athina adds fine-grained access controls, self-hosted VPC deployment, SOC 2 Type 2 compliance, and GraphQL API access. It is used by AI teams at companies including Perplexity, Doximity, You.com, Meesho, and PhysicsWallah, positioning it as a practical choice for teams that want unified evaluation and observability.