Company
About VVE.
VVE builds deterministic numerical computing for teams that need structured eigensolving results they can reproduce, review and qualify.
What we are building.
VVE is focused on deterministic numerical computing: structured-matrix eigensolving that is bit-reproducible across the machines and toolchains in scope, small enough for constrained deployments, and measured against the routines evaluators already know.
How VVE makes claims.
labelled with routine, size, operation and thread count
signed where evidence is shared
reproducible by the evaluator on their own hardware
Where VVE fits.
Regulated compute and model-risk review
When a result may need audit, re-run or sign-off, bit-reproducibility is part of the product requirement rather than an afterthought.
Embedded and edge deployment
Small, dependency-light numerical software matters when a tuned BLAS stack is too large, too variable or too difficult to qualify.
Signal processing
Subspace methods such as MUSIC and ESPRIT put eigensolving directly in the latency budget and benefit from scoped determinism.
Integration and licensing
Teams can evaluate VVE against their own matrices first, then discuss licensing, integrations or partnerships if the harness supports the case.
Leadership.
Milton Hubbard III — CEO / Chief AI Officer
Seth Anthony — Chief Scientist
Cale Crews — VP Investor Relations
Bring us the workload.
Evaluation, licensing and investor conversations all start with the same posture: clear scope, named evidence and no fabricated claims.