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Sentry for AI Agents
Monitor your AI agents the right way. AI engineers use Raindrop to get alerts about silent failures in their AI agents. Raindrop sends you alerts when your AI misbehaves and links straight to the events, so you can dig into the conversations or traces, understand the root cause, and fix it, fast.
Raindrop is an AI agent monitoring and observability platform that tracks production agent runs, surfaces real failures from traces, and enables automatic fixes and testing of changes. It emphasizes tracing, Slack integration, and self-healing workflows to validate fixes on live traffic.
Raindrop collects and logs every production agent run, including messages, tool calls, retries, and errors, in one place. It detects issues automatically, surfaces silent failures, and integrates with Slack for collaboration. Users can inspect traces, experiment with feature flags, log every run, and ship fixes with live-traffic verification to confirm regressions are gone. The product supports tracing, failure detection, signal creation, and in-app collaboration to triage and validate changes across agent surfaces.
Who it’s for: Engineers and teams building AI agents or autonomous systems who require production observability, failure detection, and validated self-healing workflows.
customer mentions and enterprise/fortune 100 references; SOC 2 compliance; mentions of enterprise deployments and logging/traces processing at scale
Building Raindrop – Sentry for AI products. Prev. cofounder & CEO of Opyn (acq. Coinbase), the first and largest DeFi options platform, with $15 + billion volume. UC Berkeley
Building Raindrop: Sentry for AI agents. Previously Co-Founder at Opyn (acquired by Coinbase), the first and largest DeFi options platform ($15b+ volume), inventing a new financial asset class known as the power perpetual (an option that has no expiry). Dropped out of UC Berkeley EECS
building raindrop (sentry for ai products) I was previously on the Human Interface team at Apple for 4 years, building out visionOS. before that, dabbled with robotics + avionics
We transform user requests and model outputs into metrics you actually care about.
Dawn provides analytics for AI products by transforming user inputs and model outputs into categorizations and metrics. It auto-discovers categories, supports custom categorization, and connects to existing analytics tools; early users report clarity in insights from user behavior, churn, and content moderation.
From the original launch (Mar 2024) — may be outdated.
Formerly “Sidekick [NOTE”, “this is a duplicate app per request of Diana Hu. old id: zkoticha]”, “Sidekick”, “Invisible Tools”, “Dawn” · why startups rename →
Datadog for Agent Reliability
Red teaming for AI agents
