Athina

Athina is a collaborative artificial intelligence development platform that enables teams to build, test, and monitor AI features in a unified environment. The platform is designed to accelerate the process of shipping AI-powered applications to production while maintaining quality and observability throughout the development lifecycle. At its core, Athina provides a structured workspace where both technical and non-technical team members can work together on AI projects. Data scientists can use SQL to compare datasets side by side, interact with data in flexible ways, and perform detailed analysis to understand model behavior. Product managers and QA teams can participate in evaluating datasets, managing prompts, and reviewing experimental results without requiring deep coding expertise. Engineers gain full visibility into production AI systems through monitoring and tracing capabilities, allowing them to detect issues, track performance, and debug failures in real time. The platform supports prompt engineering with any model, including custom models, enabling teams to manage, test, and iterate on prompts efficiently. Users can prototype AI features quickly, run experiments to compare different approaches, and annotate data to improve model accuracy. Evaluation tools help teams measure the quality of outputs against defined criteria, while the experiment tracking feature allows systematic comparison of different configurations, models, and parameter settings. Athina also includes a monitoring component that provides comprehensive observability into production AI systems. This includes tracing requests through the entire pipeline from input to output, logging performance metrics, and surfacing anomalies or errors. Teams can set up alerts for specific conditions, such as