First Principles
We rebuilt computing from geometric algebra and discovered that the same mathematical structures transform both computation and our understanding of fundamental physics. Constants derived, not measured. Predictions from necessity, not fitting.
Our Approach
Most technology companies optimize within existing paradigms. Faster processors. Smarter algorithms. Better caching. Incremental improvements within fixed constraints.
We asked different questions. What if the von Neumann architecture itself is the constraint? What happens when you build computing systems entirely from geometric first principles?
The answer surprised us. The same geometric foundations that enable new computing architectures also connect to fundamental physics. Not metaphorically. Mathematically. The same structures appear in both domains.
This led us down two parallel paths: practical computing systems with demonstrated performance, and theoretical frameworks with implications for how we understand physical law.
Core Principles
Geometry First
Not geometry as optimization. Geometry as foundation. Every algorithm, every data structure, every theoretical claim derived from pure geometric principles.
Derived, Not Fitted
We never fit. Results follow from mathematical necessity with zero free parameters. Discrepancies indicate missing structure, not acceptable approximation.
Falsifiable Claims
Every theoretical claim comes with explicit falsification criteria. If the math is wrong, we want to know. Rigor over enthusiasm.
Working Systems
Theory means nothing without implementation. We've built working systems that demonstrate practical implications. Show, not just tell.
The Scope
Our work spans from practical computing to theoretical physics.This isn't because we're unfocused. It's because the same mathematical structures appear in both domains.
The computing work is demonstrable today. Operating systems, databases, processing architectures that work differently because they're built on different foundations.
The theoretical work has broader implications. Connections to fundamental constants. Novel mathematical frameworks. Methods for scientific validation. Implications for materials science, research methodology, and beyond.
We're careful about what we claim. The computing applications are proven. The theoretical implications are being validated with the same rigor we apply everywhere. The scope is genuinely broad because the mathematics is genuinely fundamental.
The Team
Andrew Jones
Andrew leads the mathematical research, theoretical development, and system architecture. His work spans from implementing geometric computing systems to developing theoretical frameworks connecting pure mathematics to physical law.
Background in computer science and mathematical physics, with focus on translating fundamental geometric principles into both working systems and testable theoretical claims.
Leadership Team
Experienced CFO and professional directors overseeing financial operations, corporate governance, and strategic partnerships. Decades of combined experience in scaling technology companies and managing IP-based licensing models.
What Makes Us Different
We don't make existing approaches faster. We replace them with fundamentally different approaches that have different constraints entirely.
Results derive from geometric necessity, not empirical fitting. Zero free parameters. When predictions differ from measurement, it signals missing structure, not acceptable error.
Computing applications are demonstrated. Theoretical implications are validated with explicit falsification criteria.We distinguish between what's proven and what's still being tested.
Deep mathematical work takes time. We validate rigorously. We patent strategically. We license selectively. Quality over speed.
Truth From Nothing
We've built something fundamentally different. If you're interested in geometric computing, theoretical foundations, or both, let's talk.