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Automating root cause analysis with generative AI
Wild Moose automatically kicks off any root-cause investigation to improve MTTR. Our AI triages issues, analyzes impact, and suggests next steps - all before human intervention is needed.
Wild Moose positions itself as an AI SRE for dynamic environments, acting as an always-on, AI-first responder that automates root-cause analysis and provides evidence-backed next actions. It trains its system on company-specific patterns to diagnose incidents faster and with high accuracy, integrating across observability tools and learning from each incident.
Wild Moose orchestrates a system of company-specific expert agents that run end-to-end investigations in parallel. It automatically gathers and analyzes logs, metrics, and code to produce explainable root-cause summaries, correlates signals across the stack, and delivers evidence-backed recommendations. The agents adapt to the company's infrastructure and incident patterns, improve with each incident, and operate in a read-only, secure integration environment with end-to-end encryption.
Who it’s for: AI/ML engineering teams and enterprises operating in high-stakes environments that require fast, accurate root-cause analysis and automated incident response.
Customers: Wix, GoFundMe
customer stories and testimonials, enterprise security assurances, and ongoing emphasis on integration and real-time automation
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.
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.
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.
Helping on-call developers quickly identify the source of production incidents with conversational AI trained on their environment.
Wild Moose offers a conversational AI that analyzes production data (logs, metrics, and code) to help on-call developers identify incident sources and resolve issues faster. The launch communicates a 100x MTTR reduction, supports querying observability tools, provides next-step recommendations, and automates postmortems for teams with 25+ developers using Datadog, Sentry, or Elastic.
From the original launch (Feb 2023) — may be outdated.
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