Sentry for AI Products
Raindrop helps AI engineers discover issues in production agents, and build “self-healing” agents that propose and validate fixes automatically.
Raindrop automatically monitors every agent interaction and surfaces issues like hallucinations, infinite loops, tool failures, and context loss via real-time Slack alerts. Step-by-step traces let you pinpoint exactly where the agent went wrong, reducing debugging time from days to minutes.
Raindrop's experimentation platform lets you A/B test model changes, prompt updates, and configuration tweaks against real production traffic. Compare metrics across variants to prove fixes work before full rollout.
Define any signal you care about in plain language (e.g., agent forgetting user details, using filler words, refusing valid requests) and Raindrop monitors it at scale. Deep Search lets you find specific issues in production data using natural language queries.
PII Guard automatically redacts sensitive data at ingestion, so you see full agent behavior without storing customer information. SOC 2 Type II compliance and encryption at rest/in transit meet enterprise security requirements.
Raindrop sends daily Slack digests showing top issues, trends, and whether agent performance is improving or degrading. Product managers can track user satisfaction and prioritize fixes based on real production patterns.