Wild Moose GTM brain

Wild Moose sells AI agents that investigate production incidents and identify recurring reliability problems for engineering teams.

category

AI site reliability engineering

market profile

  • text: Production teams must investigate incidents across logs, metrics, code, deployments and other fragmented operational context.
  • text: The vendor positions its agents as both incident first responders and a way to identify repeat operational patterns.

personas

  • title: Head of SRE or platform engineering
    pains:
    • High alert volume and repeated incidents consume on-call capacity
    • Tribal knowledge and inconsistent runbooks slow diagnosis
  • title: VP engineering or CTO
    pains:
    • Long outages damage customer experience and revenue
    • Senior engineers lose product development time to manual investigations

icp

  • text: Engineering organizations operating complex production services with an existing observability and on-call stack.
  • text: Digital businesses where uptime has material customer or revenue consequences; the company cites Wix and GoFundMe.

message pillars

  • text: Move from reactive response toward incident prevention.
  • text: Work with the production environment already in place.
  • text: Use feedback to improve investigations over time.

objections

  • objection: Can AI be trusted during a live incident?
    response: Evaluate evidence and root cause accuracy on past incidents, with engineers retaining review of recommendations.
  • objection: Will integration and security review slow deployment?
    response: Map the necessary telemetry and code integrations, access scopes and security controls in a bounded pilot.

competitors

  • name: Rootly
    why: Incident management platform with overlapping AI incident response workflows.
  • name: incident.io
    why: Incident response and coordination platform competing for the same engineering operations budget.
  • name: BigPanda
    why: Incident intelligence and alert correlation for operations teams.

keywords

  • AI SRE
  • automated root cause analysis
  • incident investigation AI
  • reduce MTTR
  • on call incident response
  • production alert triage
  • incident prevention

voice

  • engineering-led
  • direct
  • outcome-focused

signals

  • text: A company is hiring SREs or expanding its on-call team as services proliferate.
  • text: An engineering organization reports recurring incidents, alert fatigue or high time to resolution.

stack

  • Slack
  • GitHub
  • GitLab
  • Kubernetes
  • Grafana
  • Jira
  • Confluence
  • CloudWatch

pricing

model: unknown

motion

sales_led

channels

  • LinkedIn
  • SEO
  • customer stories
  • press

confidence

high

Founders

  • name: Yasmin Dunsky
    title: Founder
    role: Founder
    bio: Yasmin holds an MBA from Stanford, and has a successful track record in founding and leading ventures, including an ecosystem that trains thousands of female software developers across Israel. She served as an analyst for the Israeli Special Forces Intelligence and holds a BSc in Computer Science from The Hebrew University.
  • name: Roei Schuster
    title: Founder
    role: Founder
    bio: I'm the CTO of Wild Moose. Before, I was a post-doc at the Vector Institute of AI, after completing a PhD at Cornell and Tel Aviv University. My research focused on security and privacy of AI, and particularly NLP. Before my that, I did my undergrad at the Technion, and served in IDF's 8200 alongside my cofounder Tom.
  • name: Tom Tytunovich
    title: Founder
    role: Founder
    bio: Building software stuff since 2002. In the IDF's Intelligence Corps, in tiny startups and large corporations as software developer, architect, and engineering manager, as CTO of a nonprofit building technology with people who are homeless in NY, and now as co-founder of Wild Moose.

Back to YC companies