Athina AICollaborative AI development platform for building, testing, and monitoring AI features.

Athina is a collaborative AI development platform designed to help teams build, test, and monitor AI features, aiming to accelerate their shipment to production. The platform caters to various roles within an AI team, including data scientists, product managers, QA teams, and engineers, by providing tailored tools and interfaces. It enables both technical users, who can interact programmatically via SDKs and APIs, and non-technical users, who can leverage a no-code UI for tasks like building complex AI flows. Core capabilities include comprehensive prompt management, supporting various models including custom ones, along with features for testing and running prompts. It provides extensive dataset evaluation capabilities, offering over 50 preset evaluation metrics as well as options to configure custom evaluations. The platform also supports experimental dataset regeneration by allowing users to change models, prompts, or retrievers with ease. Athina integrates human QA teams to work alongside AI evaluations, enabling the verification of evaluation results and the annotation of datasets. Users can prototype powerful AI chains and run them programmatically, and data scientists can compare datasets side-by-side with SQL interaction. For production AI, Athina offers robust observability features, including powerful monitoring specifically designed for AI traces. It captures every step of LLM flows, allowing for replay and analysis. Continuous online evaluations can be configured to run on incoming logs, providing ongoing visibility into accuracy. Segmented analytics help teams understand how model performance changes over time and across different segments, with the ability to compare evaluation scores by prompt, model, topic, or customer ID. Key strengths highlighted include full data privacy through fine-grained access controls and the option for self-hosted deployment within a user's own VPC. Athina is also SOC-2 Type 2 compliant and supports integration with custom models and providers like Azure OpenAI and AWS Bedrock.