ChatSee.ai Raises $6.5M Seed for AI Agent Failure Intelligence Platform

ChatSee.ai Raises $6.5M Seed for AI Agent Failure Intelligence Platform

San Francisco-based ChatSee.ai has raised $6.5 million in seed funding led by True Ventures to help enterprises detect, analyze, and prevent failures in autonomous AI agents running in production. Founded by serial entrepreneur Sekhar Sarukkai (Skyhigh Networks, Securent, Confluent Software), ChatSee provides a 'failure intelligence platform' that captures the context behind agent errors such as missed escalation triggers, policy violations, and improper tool usage, then tracks how those issues were resolved historically.

The raise signals the emergence of a new operational-risk category inside enterprises: as organizations shift AI systems from passive assistants to autonomous agents executing real workflows, they are discovering that agent failures are probabilistic and pattern-based rather than code-based. ChatSee argues that without specialized observability tools, enterprises risk repeating the same mistakes across production workflows and customer-facing deployments. True Ventures partner Puneet Agarwal noted that companies still lack tools to understand when agents behave incorrectly and how to correct failures at scale.

This funding reflects a broader structural pattern in the AI substrate: as agentic systems move from controlled pilots to full production, a new tooling layer for reliability, governance, and post-deployment observability is forming. ChatSee enters a nascent segment alongside players like LangChain (LangSmith) and Arize AI, but focuses specifically on failure pattern recognition rather than general LLM observability. The $6.5M seed is small relative to the enterprise infrastructure market, but the problem it addresses—probabilistic failure modes in autonomous agents—is likely to become a critical procurement category as agent deployment scales.

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