Raindrop GTM brain

Raindrop helps AI engineering teams detect, investigate and prevent failures in production agents.

category

AI agent observability

market profile

  • text: Agent failures can be semantic and silent even when conventional infrastructure metrics look healthy.
  • text: Agent observability buyers compare monitoring, traces, evaluations and pre-release testing across specialist platforms.

personas

  • title: AI engineer
    pains:
    • Cannot manually inspect every conversation and tool call for subtle failures.
    • Needs original traces to reproduce an issue and verify a fix.
  • title: Head of AI engineering
    pains:
    • Needs confidence that agent changes do not regress user-facing behavior.
    • Must scale production monitoring across many runs and teams.

icp

  • text: Software companies operating customer-facing AI agents with enough production traffic for repeated failure patterns to matter.
  • text: Larger enterprises deploying agents in consequential workflows and requiring help with rollout and reliability.

message pillars

  • text: Find hidden failures in live agent traffic.
  • text: Investigate from the original evidence.
  • text: Catch regressions before deploying changes.

objections

  • objection: We already have traces and dashboards.
    response: Test whether issue detection groups silent failure patterns and accelerates diagnosis beyond existing traces.
  • objection: Will this fit our agent development workflow?
    response: Pilot a representative agent and evaluate tracing, CI simulations and integration support.

competitors

  • name: LangSmith
    why: Offers agent tracing, monitoring and evaluations.
  • name: Langfuse
    why: Provides open-source tracing and evaluations for LLM applications.
  • name: Braintrust
    why: Competes in agent evaluation and observability.

influencers

  • name: Ben Hylak
    url: https://www.linkedin.com/in/benhylak
    why: Raindrop co-founder shares product and agent monitoring perspectives.

keywords

  • AI agent monitoring
  • agent observability
  • LLM tracing
  • AI agent silent failures
  • agent evaluation
  • agent regression testing

voice

  • Technical and concise
  • Urgent about reliability
  • Action-oriented

signals

  • text: An engineering team has deployed customer-facing agents and is investigating silent failures.
  • text: A team is releasing agent changes frequently and wants to detect regressions in CI.

hiring

  • ML Engineer
  • Founding Research Engineer
  • Product Engineer
  • Backend / Infra Engineer
  • Developer Experience
  • Forward Deployed Engineer

pricing

model: freemium

motion

hybrid

channels

  • developer content
  • events
  • LinkedIn
  • sales

confidence

high

Founders

  • name: Zubin Koticha
    title: Founder/CEO
    role: CEO
    bio: 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
  • name: Alexis Gauba
    title: Founder
    role: Founder
    bio: 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
  • name: Ben Hylak
    title: Founder
    role: Founder
    bio: 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

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