Zeno is a web-based platform that helps AI researchers and data scientists evaluate their models by visualizing performance, discovering errors, and building interactive charts. It supports multiple data types and advanced error discovery techniques for comprehensive model analysis.
Zeno sits in PulseGate's LLM eval & observability category. It focuses on simplifying the evaluation and analysis of AI models by providing interactive tools for error discovery and performance visualization. It is built as a B2B product for AI researchers and data scientists. There is a free tier. It runs on the web and the command line.
Behind Zeno is Zeno Team, and it first shipped in 2020. Development happens publicly on GitHub with 13.1k stars and 51 commits in the last 90 days. Key capabilities include model evaluation, error analysis, and data visualization.
Summary written by a language model from the project’s public pages.
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