Athina AI

Athina AI: Full-Stack LLMOps Platform

Athina is a full-stack LLMOps platform that helps AI engineers detect hallucinations, bad responses, and safety issues across the lifecycle of an LLM product. The platform pairs an open-source SDK (50+ preset evals) with the Athina IDE for prototyping pipelines, running experiments, and comparing datasets.

YC-backed with a focus on the eval-first pattern for shipping reliable AI products.

Key Features

• 50+ preset evals open-source via athina-evals
• Athina IDE for prototyping LLM pipelines
• Experiments and dataset comparison for prompt iteration
• Online evals — production monitoring against eval rules
• Hallucination and safety detection out of the box

Ideal Use Case

AI engineering teams shipping LLM products to production who need a structured eval workflow but don't want to build it from scratch. Particularly strong fit for teams comfortable with open-source tools and YC-backed startup velocity.

Why Use Athina AI

Braintrust, Langfuse, and Helicone own different slices of LLMOps. Athina's wedge: open-source evals with a paid IDE on top, YC velocity, and good integration story for teams that want to start free.

FAQ

Q: Are Athina's evals open source? A: Yes — athina-evals is the open-source SDK with 50+ preset evals. The IDE and managed services are paid.

Q: How does Athina compare to Braintrust? A: Both target evals + observability. Athina leans open-source-first; Braintrust leans hosted-first with deeper experiment workflows.

Q: Can I run Athina evals in CI? A: Yes — the open-source SDK is designed for CI integration.

tl;dr

Open-source-first LLMOps — 50+ eval SDK plus paid IDE. Hallucination + safety detection. YC-backed.

Related

Looking for more options? Browse the AI Infrastructure directory or read our best AI infrastructure tools listicle. Athina AI is also tracked on Crunchbase.