We have developed a deterministic computational engine that replaces approximate electron modeling with exact geometric computation—unlocking the design of next-generation superconductors, fusion materials, and quantum substrates.
Today’s trillion-dollar hardware bottlenecks—fusion magnets, quantum computing, and lossless power grids—rely on strongly correlated electron systems.
Existing ab initio tools treat the electron as a structureless particle, relying on approximate exchange-correlation functionals that break down exactly where the value is greatest. These approximations critically fail for the strongly correlated regime—the exact physics that governs high-temperature superconducting behavior and topological states in quantum materials.
A fundamentally different approach is required.
The world’s first computational platform that models electrons as extended geometric objects—not point particles—enabling deterministic materials prediction from first principles.
Built on 30 years of mathematical development, our GPU-accelerated platform simulates the full electromagnetic and nuclear interactions of matter at the atomic scale—predicting material properties before a single sample is synthesized.
Where existing tools rely on approximate functionals that break down for complex electron systems, our engine computes exact solutions, unlocking material designs that were previously inaccessible to simulation.
We deploy our proprietary compute infrastructure to discover and patent foundational IP for the industries of tomorrow.
First-principles optimization of 2G REBCO wire and novel superconducting lattices. We compute the electron interactions that determine critical current density—replacing trial-and-error synthesis with deterministic design.
Coupled nuclear-electromagnetic plasma-facing material design. We simulate the extreme multi-physics environment of fusion reactors to discover materials that survive conditions no existing alloy was designed for.
Topological insulator design derived from geometric electron simulation. We compute the band structures and edge states that enable fault-tolerant qubits—from first principles, not functional approximations.
Built by leaders in high-performance computing, numerical physics, and deep-space systems engineering.
Former NASA JPL systems engineer who led $100M+ in technical development on flagship deep-space missions, including the Europa Clipper spectrometer and the EMIT Earth-observation instrument. Previously CTO of Active Vigilance, where he architected autonomous systems for the IM-2 lunar mission. Now applying the same mission-critical engineering discipline to computational physics at the atomic scale.
Computational physicist with deep expertise in numerical solvers for wave-dominated systems. Ph.D. from Heriot-Watt, postdoctoral research in computational electromagnetics at the University of Cambridge. Previously built production-grade plasma physics simulation software at Magdrive. Leads the architecture of the Velar simulation engine and its GPU-accelerated HPC infrastructure.
We are actively seeking strategic partners and investors who understand that the most transformative materials breakthroughs require deterministic physics—not better approximations.