Gentrace: Streamlining LLM Evaluation for AI Teams

Gentrace is an LLM evaluation platform designed for AI engineering teams to test, refine, and monitor their models with collaborative, UI-first tools. It empowers teams to conduct evaluations without code silos, supporting seamless integration with application code and enterprise-scale requirements. Gentrace is trusted by companies like Webflow, Quizlet, and Multiverse to enhance AI product quality and streamline development workflows.

Key Features:

• Evaluation: Comprehensive tools for assessing AI outputs via human, code, and LLM-driven methods.
• Experiments: Run last-mile tuning and parameter adjustments for generative AI pipelines.
• Reports: Generate detailed insights to track model performance and improvements.
• Tracing: Monitor and debug AI workflows with end-to-end visibility.
• Environments: Manage testing scenarios with isolated, configurable settings.
• Multimodal Support: Evaluate text, images, and other output types using models like GPT-4 Vision.
• Collaborative Workflows: Enable ML engineers, product managers, and coaches to work cohesively.
• Enterprise-Grade Features: Self-hosting, role-based access control, SOC 2 Type II, and ISO 27001 compliance.
• Custom Evaluations: Tailor tests to unique use cases with heuristic, comparative, and custom provider evaluators.

Pricing:

Gentrace offers usage-based pricing with no per-seat charges, making it scalable for teams of all sizes. Enterprise plans include priority support and advanced compliance features, with contact sales as the primary CTA for tailored solutions.

Conclusion:

Gentrace is an essential tool for AI teams seeking to optimize model performance, foster collaboration, and ensure quality at scale, backed by robust enterprise capabilities and real-world success stories.