IncidentFox GTM brain

IncidentFox provides an AI site reliability agent that investigates production alerts and proposes fixes for engineering teams.

category

AI SRE agents

market profile

  • text: On-call engineers investigate incidents across alerts, logs, metrics, code and deployment history under time pressure.
  • text: AI SRE tools compete across standalone agents and incident management or observability platforms.

personas

  • title: On-call SRE or infrastructure engineer
    pains:
    • Nighttime alerts require manual correlation across monitoring tools and recent deployments
    • Context gathering and producing a safe fix prolong incidents
  • title: Head of platform engineering
    pains:
    • Incident investigation depends on a few engineers who know the stack
    • Production write access needs approval and an audit trail
  • title: Engineering manager for a production service
    pains:
    • Repeated incidents interrupt delivery and affect customers
    • New team members need system context to troubleshoot effectively

icp

  • text: Software companies with production services, on-call rotations and recurring alerts across multiple observability systems.
  • text: Infrastructure teams using Slack and tools such as PagerDuty, Datadog, Kubernetes or GitHub for incident response.

message pillars

  • text: Investigate incidents outside working hours.
  • text: Build context from the customer's systems and history.
  • text: Present fix scripts for human review.
  • text: Control production changes.

objections

  • objection: An AI agent should not make unsupervised production changes.
    response: Start with investigation and review proposed fixes; the site describes human approval for write actions and audit logging.
  • objection: It will not understand our architecture.
    response: Test against a representative incident using codebase and incident history, then inspect the supporting evidence.
  • objection: Connecting another tool will be time consuming.
    response: Trial the advertised no-setup experience and verify access and integrations for the relevant systems.

competitors

  • name: Resolve AI
    why: AI SRE agent for cross-stack incident investigation and remediation.
  • name: Rootly
    why: Incident management platform offering an AI SRE.
  • name: incident.io
    why: Incident response platform with AI investigations.
  • name: Cleric
    why: Dedicated AI SRE agent investigating production alerts.

influencers

  • name: Jimmy Wei
    url: https://www.linkedin.com/in/chiehmin-wei
    why: Co-founder sharing lessons from deploying IncidentFox in on-call workflows.

keywords

  • AI SRE agent
  • automated incident investigation
  • production incident root cause analysis
  • on call automation
  • AI incident remediation
  • Slack incident response

voice

  • Direct and conversational
  • Engineer oriented
  • Action and speed focused

signals

  • text: A company is hiring SREs or struggling with on-call fatigue from production incidents.
  • text: An engineering team uses several monitoring and paging tools and wants faster cross-system investigations.

stack

  • Slack
  • PagerDuty
  • AWS
  • Datadog
  • Prometheus
  • Grafana
  • GitHub
  • Kubernetes

pricing

model: unknown

motion

hybrid

channels

  • website
  • Discord
  • LinkedIn
  • YC directory
  • technical documentation

confidence

high

Founders

  • name: Jimmy Wei
    title: Founder/CEO
    role: CEO
    bio: Chiehmin (Jimmy) Wei is a co-founder of IncidentFox. Before IncidentFox, Jimmy was a software engineer at Roblox, where he architected a real-time communication feature reaching 11.7M+ users, and at Facebook AI Research (FAIR), where he built conversational AI infrastructure and set new research baselines with Transformer models. He holds an M.S. from Cornell University and a B.S. in Computer Science from Bucknell University.
  • name: Long Yi
    title: Founder/CTO
    role: CTO
    bio: Long Yi is the co-founder of IncidentFox, an AI-powered SRE platform for automated incident investigation and infrastructure management. Previously, he built large-scale distributed systems at Roblox, managing database and search infrastructure handling over 1.5 million queries per second. He holds a B.S. from Brandeis University, where he conducted research in audiovisual signal processing and neural modeling.

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