483 Mag-7 Operators and 213 Verified PhDs

Understanding the Problem

Most AI infrastructure and capital deployments fail at the physical and technical layer due to a lack of true engineering depth. Traditional allocators rely on high-level commercial summaries rather than rigorous, peer-level validation of compute architectures, cluster networking, and power delivery. Without deep technical operators in the room, capital is exposed to unverified deployment risk.

The Solution

Raion integrates an unusually dense concentration of 483 former and active operators from Alphabet, Microsoft, Nvidia, and Meta, alongside 213 verified PhDs from MIT and Cambridge. This talent pool provides institutional-grade technical due diligence, evaluating proprietary deal flow from the silicon level up to grid interconnection.

"When deploying multi-million dollar compute shells, commercial diligence is not enough. You need engineers who have built and broken training clusters at scale to underwrite the deployment."

— Laurence Cohen

Co-Founder & CEO @ Raion

Outcome

Allocators and family offices within Raion deploy capital with complete engineering confidence. Technical blind spots are eliminated early in the due-diligence phase, significantly de-risking sovereign AI infrastructure investments before rounds become public.