Building the Safety Layer for AI Agents

Raindrop is building the safety layer for AI agents. As agents get more capable and take on more complex work, Raindrop detects when they go wrong in production, from failed tool calls and hallucinations to problems companies didn’t even know to look for. They’re already used by companies including Vercel, Clay, Framer, and Speak, and just raised a Series A, bringing their total funding to $50 million. In this episode of Founder Firesides, the founders sat down with YC's Diana Hu to share how a tool they originally built to debug their own coding agent became the company, why better AI agents actually create more ways for things to go wrong, and how their new simulations product can catch failures before they ever reach production. https://www.raindrop.ai 00:00 — Intro 00:05 — What Raindrop Does 01:32 — Why Better AI Agents Create More Problems 03:25 — Finding the Failures Evals Miss 04:38 — How Raindrop Got Started 06:32 — Why They Kept Going 07:58 — Catching Agent Failures Before Production Apply to Y Combinator: https://www.ycombinator.com/apply Work at a startup: https://www.ycombinator.com/jobs

Diana HuhostRaindrop foundersguest

Sep 17, 202610mWatch on YouTube ↗

EPISODE INFO

Released: September 17, 2026
Duration: 10m
Channel: YC Root Access
Watch on YouTube: ▶ Open ↗

EPISODE DESCRIPTION

Raindrop is building the safety layer for AI agents. As agents get more capable and take on more complex work, Raindrop detects when they go wrong in production, from failed tool calls and hallucinations to problems companies didn’t even know to look for. They’re already used by companies including Vercel, Clay, Framer, and Speak, and just raised a Series A, bringing their total funding to $50 million. In this episode of Founder Firesides, the founders sat down with YC's Diana Hu to share how a tool they originally built to debug their own coding agent became the company, why better AI agents actually create more ways for things to go wrong, and how their new simulations product can catch failures before they ever reach production. https://www.raindrop.ai 00:00 — Intro 00:05 — What Raindrop Does 01:32 — Why Better AI Agents Create More Problems 03:25 — Finding the Failures Evals Miss 04:38 — How Raindrop Got Started 06:32 — Why They Kept Going 07:58 — Catching Agent Failures Before Production Apply to Y Combinator: https://www.ycombinator.com/apply Work at a startup: https://www.ycombinator.com/jobs

SPEAKERS

Diana Hu
host
Host on YC Root Access (Y Combinator), interviewing startup founders.
Raindrop founders
guest
Founding team member of Raindrop, building a safety/monitoring layer for AI agents in production.

EPISODE SUMMARY

In this episode of YC Root Access, featuring Diana Hu and Raindrop founders, Building the Safety Layer for AI Agents explores raindrop builds a safety layer to detect and prevent agent failures Raindrop provides a safety and reliability layer for AI agents by detecting and preventing failures using comprehensive production trace analysis.

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