Chatsee.ai is an observability and reliability platform for enterprise AI applications. It continuously monitors AI system behavior, identifies failures across lifecycle stages, structures them into actionable signals, and feeds learnings back to improve models and agents. The platform supports engineering, SRE, product, and governance teams with tools for discovery, performance management, and operational learning based on analysis of over 10,000 real-world failure events.
In the LLM eval & observability space, Chatsee.ai takes a focused approach. Lack of runtime control and observability for AI systems in production, making it hard to detect, categorize, and learn from failures. It is built as a B2B product for AI engineering teams and SREs. It runs on the web.
It is developed by Chatsee.ai (United States), and it first shipped in 2024. Key capabilities include AI Failure Detection, Behavioral Observability, and Failure Memory. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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