What is Athina AI?

Athina is a collaborative AI development platform that lets teams build, test, and monitor AI features from a single interface. It offers a prompt editor and flow builder that supports any model—including custom models—and enables non‑technical and technical users to manage prompts via the UI or programmatically.

Data scientists can compare datasets, run SQL queries, and annotate results; product managers can prototype models and evaluate them with over 50 preset or custom evaluation suites; QA teams can conduct human evaluations alongside automated metrics.

Engineers can execute prompts, flows, and evaluations with a few lines of code while the platform captures complete LLM traces, logs, and performance metrics for observability and segmented analytics. Athina supports self‑hosted deployment in a VPC, fine‑grained access controls, SOC‑2 Type 2 compliance, and integration with Azure, AWS Bedrock, Vertex, and other custom model endpoints.

Athina AI pricing Freemium

Starter $0/mo
Monitor Contact us
Evaluate Contact us
Enterprise Contact us

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Athina AI's key features

  • Collaborative AI development platform
  • Prompt evaluation with custom models
  • Preset dataset evaluation
  • Custom evaluation configuration
  • Real-time online evaluation on logs
  • End-to-end LLM flow tracing
  • Fine-grained access controls and self-hosted deployment

Athina AI use cases

  • Develop a conversational AI pipeline for product recommendations, using Athina’s prompt editor, flow builder, and dataset comparison to fine‑tune model responses and monitor performance with built‑in observability
  • Create an internal knowledge‑base assistant that runs on a self‑hosted Athina instance, integrating SQL queries against corporate data, executing code snippets, and ensuring SOC‑2 compliance for sensitive information
  • Collaboratively train and evaluate a language‑model for automated customer support, leveraging Athina’s evaluation suite, human QA workflow, and cloud integration to deploy the best‑performing version across multiple regions

Who is it for?

  • Data analysts
  • Machine learning engineers
  • Product managers
  • Quality assurance analysts
  • Software developers

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