Y Combinator-backed Wild Moose raises $7 million Seed to stop the next AWS-style outage
Israeli startup backed by Dropbox and Netflix veterans uses AI to uncover the root cause of system failures in minutes.
System outages caused by cloud service failures, such as last week’s disruption at Amazon Web Services (AWS) or last year’s botched update by cybersecurity firm CrowdStrike, can inflict enormous financial and reputational damage on organizations. A new Israeli startup is tackling this problem head-on, having raised $7 million in Seed funding to bring AI-driven reliability to modern infrastructure.
The company, Wild Moose, was founded in 2023 by Yasmin Dunsky (CEO), Roei Schuster (CTO), and Tom Tytunovich (VP of R&D). The Seed round was led by iAngels, the fund of Shelly Hod Moyal and Mor Assia, with participation from F2 Venture Capital, Y Combinator, Demo Capital, and Maverick Ventures.
Prominent angel investors also joined the round, including Arash Ferdowsi, co-founder of Dropbox; Jeremy Edberg, founder of the Site Reliability Engineering (SRE) department at Netflix and Reddit; and Joel Pobar, one of the world’s leading AI researchers.
Wild Moose currently employs ten people. Dunsky, 35, previously founded QueenB, an organization encouraging women to enter high-tech.
Wild Moose operates in the field of Site Reliability Engineering (SRE), a discipline focused on preventing and mitigating system failures and outages caused by bugs, misconfigurations, and operational errors. When digital platforms experience downtime, companies often suffer immediate losses, financial, regulatory, and reputational. To avoid this, engineers are placed on-call around the clock to detect, diagnose, and resolve issues.
However, when failures occur, engineers are bombarded with thousands of alerts from disparate systems. Pinpointing the root cause can take hours of manual investigation. While most tools stop at alerting or summarizing incidents, Wild Moose goes further, conducting a complete, AI-driven root-cause analysis.
Once an alert is triggered, the platform automatically aggregates logs, metrics, recent code changes, and past incidents. It cross-references anomalies, tests hypotheses against the raw data, identifies the likely root cause, and generates recommended steps for resolution, with clear rationales engineers can verify. The platform then communicates findings directly in Slack or Microsoft Teams, in plain, actionable language.
The system has already been adopted by leading Israeli tech companies including Wix, Redis, and Lemonade.
“We were early to see the opportunity to apply generative AI to incident response, even before ChatGPT launched,” said Yasmin Dunsky, CEO and Co-Founder of Wild Moose. “Root cause analysis is one of the hardest problems in engineering, and in a critical workflow there’s no room for hallucinations or half-baked solutions. We know that there is no tolerance for generic recommendations and that developers want a tool that understands their system at least as well as they do. Wild Moose leverages the benefits of AI without compromising the control that engineering teams need, providing hyper-personalized, accurate, explainable results that engineers can trust, even in the most complex systems.”
Investor Jeremy Edberg, who founded Netflix and Reddit’s SRE departments, adds:
“I’ve spent enough time in the trenches at Reddit and Netflix to know what actually matters when things are on fire,” said Jeremy Edberg, angel investor in Wild Moose and founding SRE at Reddit and Netflix. “Most observability tools just throw more dashboards at you, but Wild Moose actually learns how your systems work and acts like having another senior engineer on call. It’s not just summarizing logs, it’s connecting the dots between your code changes, your metrics, and that weird spike at 3 a.m. When you’re trying to keep a site up for millions of users, you need tools that think like engineers, not just tools that generate pretty graphs. That’s what Wild Moose gets right.”
