Monitoring for AI agents in production: trace every run, tool call and decision, detect silent failures and auto-fix them, triage issues with an agent in Slack, the web or MCP, track signals and run experiments, and simulate changes in CI before shipping (Workshop lets you replay and debug agents locally). Raised a $50M Series A.
Raindrop.ai
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