Wild Moose, an AI-powered Site Reliability Engineering (SRE) platform that acts as a first responder for production incidents, announced Tuesday it has emerged from stealth with $7 million in seed funding.
The round was led by iAngels, with participation from Y Combinator, F2 Venture Capital, Maverick Ventures and a roster of high-profile angel investors from the AI and reliability engineering sectors.
Founded in 2023 by CEO Yasmin Dunsky, CTO Roei Schuster and VP R&D Tom Tytunovich, Wild Moose is designed to tackle one of the most complex challenges in engineering: identifying and resolving the root causes of production incidents—fast, accurately and with minimal human effort. The platform leverages generative AI to automate triage, pull together context from various tools, detect root causes and recommend next steps in under a minute.
“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,” said Dunsky. “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. We are deeply grateful to our investors for backing us in this mission.”
Wild Moose has already been adopted by companies such as Wix, Redis, GoFundMe and Lemonade, who report reductions in mean time to resolution (MTTR) by up to 80%. It also eases alert fatigue and allows engineers to focus more on building rather than constant firefighting.
Unlike most incident management tools that focus on alerting or summarization, Wild Moose conducts structured investigations. When an alert is triggered, the platform automatically gathers telemetry data—logs, metrics, traces, recent code changes and historical incidents—then cross-references anomalies, tests hypotheses, identifies the root cause and recommends next actions. It delivers these insights directly into Slack or Microsoft Teams, integrating with engineers’ existing workflows.
The platform also turns institutional knowledge into living, self-updating playbooks and is built with enterprise-grade security, including SOC 2 compliance, in-memory processing and end-to-end encryption to protect sensitive data.
The funding will support expansion of Wild Moose’s product and go-to-market teams, with a focus on scaling adoption among large enterprises where uptime is directly tied to revenue and customer trust.
“Wild Moose represents a new era in engineering,” said Mor Assia, founding partner at iAngels. “It’s the silent force that protects uptime and performance, preventing the costly disruptions that can impact both revenue and reputation.”
Jeremy Edberg, founding SRE at Reddit and Netflix and an angel investor in Wild Moose, added: “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.”
With this new backing, Wild Moose is positioning itself as a trusted solution for organizations seeking to stay resilient in the face of complex, high-stakes technical challenges.