Tessl is a platform that lets users discover, test, and compare AI models and agents from multiple providers in a unified, searchable registry.
Tessl is an AI evaluation and benchmarking platform designed to help teams systematically test, compare, and monitor language models and AI agents. It provides a centralized registry where users can define evaluation tasks, datasets, and metrics, then run consistent tests across multiple models and configurations. Tessl supports both quantitative metrics (such as accuracy, latency, and cost) and qualitative assessments, enabling teams to understand real-world performance rather than relying on isolated prompts.
With Tessl, users can create reusable evaluation suites for use cases like question answering, code generation, content moderation, summarization, or domain-specific reasoning. The platform allows side-by-side model comparisons, version tracking, and performance history so teams can see how changes to prompts, system instructions, or model selection affect outcomes over time. Tessl also supports structured experiment definitions, making it easier to reproduce results and share evaluation setups across teams.
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