Gentrace is an AI-driven tool engineered to evaluate generative AI models, employing a blend of human insight, AI capabilities, and heuristic methods. Its primary objective is to measure the quality, speed, and cost efficiency of production processes.
This tool enables teams to consistently gauge the caliber of AI models using both AI and heuristic techniques. Additionally, it streamlines the grading process, eliminating manual evaluation through spreadsheets.
Gentrace leverages AI and heuristic-based evaluations to automatically identify regressions and instances of hallucinations. Furthermore, Gentrace offers a production monitoring solution known as Observe.
This feature equips users with the ability to oversee the speed and cost associated with AI models in real-time. Users have the capability to delve into detailed analyses of specific inputs, outputs, and evaluator scores for diverse generations.
The tool presents a visual depiction of pipeline executions, delivering insights into the evolving performance of AI models. Gentrace features a user-friendly SDK for Python, enabling seamless integration of the tool into existing workflows.
Security is a key focus, with enterprise-level SOC 2 TYPE 1 controls and completed audits in place. The tool offers administrative and user controls to streamline team member organization and manage access permissions.
Gentrace also highlights forthcoming features, including enhanced control functionalities and a self-managed hosting option for data storage. Overall, Gentrace seeks to deliver a thorough solution for the assessment and monitoring of generative AI models, empowering teams to fine-tune their models for optimal quality, speed, and cost-effectiveness in production scenarios.
Evaluate generative models
Assess quality, speed and cost
Automate grading procedures
Limited Python SDK support
Lack of real-time alerts
Self-hosting option is still upcoming

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