Where Linear Algebra Meets Industry Problems
eigenheads sits at the intersection of AI's mathematical foundations and the specific challenges your business actually faces.
We've been thinking about machine intelligence since 1999—when our founder pulled the name from Gibson's Idoru and the eigenface recognition algorithms. Two decades later, the technology caught up to the concept.
Three Ways In
The Workshop
One and a half days. You bring a briefing, we bring the LLMs. Together we attack your problem in real-time—building working prototypes, testing boundaries, identifying exactly where AI creates leverage. No slideware. No promises we can't demonstrate on the spot.
The Build
Production-grade AI applications. SOC2 and ISO compliant processes. Systems that survive contact with real operations and real data.
The Integration
Your domain experts hold knowledge no foundation model contains. We build the bridges—connecting specialist expertise to LLMs for specifications, requirements engineering, and data models grounded in how your industry actually works.
The Name
Eigen: the mathematical prefix underlying modern AI.
Heads: the human element that makes it useful.
We balance analytical precision with practical application. The math matters. So does understanding your problem.