Wild Moose provides an AI “first responder” that collects logs, metrics, traces, code changes and incident history, cross-references anomalies, and surfaces root causes and remediation steps directly in Slack or Teams. Early enterprise customers such as Wix, Redis, GoFundMe, and Lemonade report up to an 80 % reduction in mean time to resolution while experiencing less alert fatigue. The system continually converts tribal knowledge into dynamic, self-updating playbooks and is built with SOC 2-compliant, read-only, in-memory data processing and end-to-end encryption. Founded in 2023 in New York by Yasmin Dunsky (CEO), Roei Schuster (CTO), and Tom Tytunovich (VP R&D), the company leverages Schuster’s Cornell Ph.D. research on large language models to deliver explainable recommendations engineers can trust. Wild Moose positions itself as an AI teammate that never sleeps, increasing reliability, uptime and resilience for revenue-critical systems. The platform differentiates itself from traditional observability tools by performing a structured investigation rather than merely correlating alerts or summarizing data. With enterprise-first safeguards and a focus on hyper-personalized, accurate outputs, Wild Moose aims to become the standard AI assistant for SRE teams. The company plans to use its new capital to scale operations, deepen go-to-market efforts, and expand product development.

Total raised

$7M

Funding rounds

1

Latest round

Seed

Latest activity

Oct 2025