#United States #New York #AI Engineering #Wild Moose #Site Reliability

Wild Moose Emerges from Stealth with $7 Million in Seed Funding

In an impressive move that promises to reshape the landscape of Site Reliability Engineering (SRE), Wild Moose, an innovative AI-powered platform, announced its emergence from stealth mode with a substantial $7 million in seed funding. This funding round was spearheaded by iAngels, and included contributions from Y Combinator, F2 Venture Capital, and Maverick Ventures, among others. Notably, it has garnered support from prominent angel investors who are leaders in AI research and SRE practices, including Joel Pobar, a distinguished AI researcher at Meta Superintelligence Labs, and Jeremy Edberg, a founding SRE at Reddit and Netflix.

Founded in 2023 by Yasmin Dunsky (CEO), Roei Schuster (CTO), and Tom Tytunovich (VP of R&D), Wild Moose is pioneering the integration of AI in incident response, making strides as a next-gen tool designed to serve as the first responder for production incidents. The platform automates the often cumbersome process of triage, seamlessly gathers context from various observability and collaboration tools, identifies root causes, and swiftly recommends corrective actions—all while significantly enhancing response times.

Among its initial clientele, Wix, Redis, GoFundMe, and Lemonade are already exploiting Wild Moose's capabilities. These early adopters report a remarkable reduction in mean time to resolution (MTTR) by up to 80%, all while alleviating the persistent issue of alert fatigue that engineers frequently endure. This liberates development teams to focus on creating rather than continuously battling crises.

Yasmin Dunsky, commenting on the technological advancements of Wild Moose, stated, "We recognized early on the potential for generative AI in incident response, even before the debut of ChatGPT. The challenges inherent in root cause analysis are among the toughest in engineering and are critical for workflow efficiency. Engineers demand tools that provide precision and reliability, without downplaying the control necessary for effective systems analysis. Wild Moose marries AI efficiency with the precision required by engineers, offering hyper-personalized outcomes that folks can trust—even under the greatest complexities. We owe immense gratitude to our investors for supporting us in this crucial mission."

While many incident management tools limit themselves to functions such as alerting or summarizing data, Wild Moose goes above and beyond. Upon triggering an alert, the platform automatically collates relevant logs, metrics, traces, changes in code, and incident histories. It intelligently juxtaposes anomalies, validates hypotheses against raw telemetry, determines root causes, and subsequently articulates the necessary remedial steps. This structured investigation minimizes the burden placed on engineering teams by eliminating generic recommendations and supplemental user interfaces, instead delivering crucial information directly into platforms engineers already utilize, such as Slack or Teams.

Wild Moose's platform is not merely reactive; it continuously codifies collective knowledge into ever-evolving, self-updating playbooks, which improve progressively with each incident. Built with an enterprise-first mindset, it offers SOC 2 compliant controls, ensures that sensitive data remains secure, and utilizes in-memory data processing and end-to-end encryption, guaranteeing that sensitive information is never revealed.

The recent infusion of funds will be allocated towards scaling operations, enhancing product development, and expediting market entry strategies. Following impressive results with its initial enterprise partners and demonstrating exceptional reliability under pressure, Wild Moose plans to expand its go-to-market team and intensify business development efforts. This is especially critical as companies recognize that reliability, uptime, and resilience are closely linked to both revenue and reputation.

Mor Assia, a founding partner at iAngels, elaborated on the significance of Wild Moose’s technology: “This platform signifies a new epoch in engineering. As teams leverage AI to accelerate development and deployment processes, the need for reliability becomes the keystone of trust between businesses and their consumers. Wild Moose functions as an integral AI tool within the RD team, offering round-the-clock service, maintaining high signal sensitivity, and upholding quality standards throughout all processes. Its role is pivotal in safeguarding uptime and performance, effectively averting costly disruptions that could adversely affect profits and reputation. This technology is not just advantageous, but a critical component for every business aspiring to achieve excellence at scale.”

Jeremy Edberg, echoing this sentiment, asserted the pressing need for effectiveness in systems management. He stated, "From my extensive experience at Reddit and Netflix, I can attest to the vital importance of effective incident management when it comes to operational crises. Most observability tools merely increase dashboard clutter, yet Wild Moose truly comprehends system dynamics and acts as an additional senior engineer on standby. It connects the dots between code revisions, metrics, and anomalies, which are crucial during demanding operational windows. For businesses striving to remain operational for a colossal user base, it’s imperative to utilize tools that think and react like seasoned engineers, not just tools that showcase aesthetically pleasing data visuals. Wild Moose excels in this regard."

About Wild Moose: Wild Moose is at the forefront of Site Reliability Engineering with its AI-powered platform designed to expedite incident resolution for engineering teams. By automating triage, collating contextual data across diverse tools, pinpointing root causes, and offering actionable insights swiftly, Wild Moose assists organizations in upholding reliability while minimizing dependency on on-call personnel. The company, captained by a trio of technical co-founders, combines extensive expertise in artificial intelligence, reliability, and large-scale distributed systems. Roei Schuster, the CTO, holds a Ph.D. from Cornell University with a specialization in Large Language Models, contributing leading-edge academic expertise to the design of Wild Moose's intelligent investigation engine. To explore the capabilities of Wild Moose further, visit www.wildmoose.ai.