Kevin M.

Experienced Technical Security Leader / Advisor / Investor

📍 United States🔄 Updated October 2026💼 1 investments📅 2 years investing🗓 Last invested Jan 2024
VC🌍 United States
1
Total investments
1
Early stage
0
Mid stage
0
Late stage
2y
Years active

Portfolio

1 investments · sorted by recency
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Investor / Advisor
2024
Causal Dynamics Lab is the Causal AI Lab for Autonomous Reliability. Current AI systems optimize for sounding correct rather than being correct. They pattern match, hallucinate confidently, and cant actually understand the systems they operate in. A better approach is possible: Causal AI, because the “why” matters. What we build: Every product starts with the same foundation: the Production World Model, a living representation of your production environment connecting code, configuration, infrastructure, policy, and the decisions behind every change. We build AI that reasons through cause and effect, then act. Why Causal AI: Traditional tools rely on correlation - they tell you what happened. We use causal reasoning to tell you what will happen. This is deterministic proof, grounded in the Pearl Causal Hierarchy. Built by operators, powered by deep research: Founded by the team that built reliability at Uber during hyperscale. Backed by deep R&D partnerships with Top AI Labs from a prestigious University, and advisors from Google DeepMind, Microsoft Research, and Hugging Face. Ship at the speed of AI without compromising production stability.
Experience · 2 entries
All (2)
Investments (1)
2024
Investor / Advisor
2024
Causal Dynamics Lab is the Causal AI Lab for Autonomous Reliability. Current AI systems optimize for sounding correct rather than being correct. They pattern match, hallucinate confidently, and cant actually understand the systems they operate in. A better approach is possible: Causal AI, because the “why” matters. What we build: Every product starts with the same foundation: the Production World Model, a living representation of your production environment connecting code, configuration, infrastructure, policy, and the decisions behind every change. We build AI that reasons through cause and effect, then act. Why Causal AI: Traditional tools rely on correlation - they tell you what happened. We use causal reasoning to tell you what will happen. This is deterministic proof, grounded in the Pearl Causal Hierarchy. Built by operators, powered by deep research: Founded by the team that built reliability at Uber during hyperscale. Backed by deep R&D partnerships with Top AI Labs from a prestigious University, and advisors from Google DeepMind, Microsoft Research, and Hugging Face. Ship at the speed of AI without compromising production stability.
2013
Affiliate
2013
About WIN: Maynard Webb, former COO of eBay, created the Webb Investment Network in 2010 to formalize the investing he’s done over the past twenty+ years. WIN’s goal is to invest in companies that aim to change the world, particularly in mobile, consumer Internet, and cloud applications. With our Affiliate Network, WIN is able to draw not only from Maynard’s experience and insight but also from those CEOs, CTOs, founders and investors who make up the WIN Affiliate Network to provide our portfolio companies with much more than capital: on-demand advice. To learn more, please visit winfunding.com.