Athina AI
LLM evaluation, observability, and experimentation for production AI.
About
Athina AI is an end-to-end LLM development platform covering prompt management, dataset curation, evaluation, experimentation, and production observability. Teams can log inferences and traces, run 50+ preset and custom evals, version prompts, and compare models side by side in a collaborative IDE.
Evals run during prototyping, in CI/CD, or continuously on production traces, with monitoring for regressions, cost, latency, and token usage across providers. An open-source Python SDK exposes the eval suite for programmatic use.
Backed by Y Combinator, Athina reports adoption by teams including Perplexity, Meesho, and Doximity, and it is designed for both technical and non-technical collaborators.
What it can do
- 50+ preset and custom LLM evaluations
- Inference logging and trace observability
- Prompt versioning and A/B experiments
- CI/CD and production eval pipelines
Setup
Sign up at athina.ai for the cloud IDE, or pip install the athina-evals SDK for programmatic evals.
Prerequisites
An Athina account; API keys for your LLM providers.
Use cases
Works with
Trust score — 8/10
Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 122; Trending score 76/100 from researcher assessment.
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.