Resonix Labs
Computational infrastructure for systems that have to work in the real world.
We build the solver that doesn’t crash when the data gets messy, the applications it unlocks, and the lab that makes every claim defensible.
The product portfolio
One computational engine. A growing line of products that run on it.
Each product below has its own page: a verbal illustration, a high-level overview, visuals, and the technical story that makes the claims defensible.
SolvSRK for Sim-to-Embed
Same binary, workstation to flight hardware.
Engineers develop in simulation and deploy to embedded hardware. The solver that worked in the lab usually isn't the solver that ships on the device. SolvSRK is one solver that runs in both places, with identical behavior and no translation step.
SolvSRK for Digital Twins
Actual parity between the twin and the thing.
Every digital twin today runs different software on the device and in the cloud. They disagree, and no one knows which to trust. SolvSRK lets you run the same physics, on the same solver, on both sides — so divergence means a real fault, not a software artifact.
SolvSRK for Self-Regulating Control
Controllers that know how confident they are.
A controller that can measure its own uncertainty can run tighter when the data is clean and back off when the data is noisy. SolvSRK makes that possible by solving the physics and tracking the uncertainty in one computation.
SolvSRK for Real-Time Uncertainty Quantification
Error bars from a single solve.
Quantifying uncertainty in a simulation usually means running it hundreds of times with Monte Carlo. SolvSRK produces calibrated error bars alongside the answer in a single solve — fast enough for real-time control loops and regulatory certification.
Bounded Network Enrichment for Card Authorization
Fewer false declines. More fraud caught. Same rules engine.
Card networks compress transactions down to twenty fields before the issuer decides. We sit on the network, extract ten bounded intelligence signals from the full picture, and deliver them alongside the standard message. Banks running rules engines outperform banks running machine learning — with a tenth of the regulatory exposure.
Resonix Research Lab
An AI-orchestrated research operations platform.
We built the lab we needed to validate our own solver. It turned out to be a product category: pre-registration, multi-layer quality assurance, AI agent workforce, structured evidence management. One engineer. Six weeks to stand up. Over 1 billion validated data points — the nearest competitor has 30,000. Zero retracted findings.
SolvScout & SolvTune
Know which solver to use — and why — in seconds.
SolvScout fingerprints your ODE system. SolvTune benchmarks every candidate solver on it and shows you a comparison table. When a competitor wins, the table says so. When our solvers win, the user already saw the evidence on their own problem.
SolvBench
Mission control for your simulation's solver.
The desktop app that turns solver selection from guesswork into evidence. SolvBench orchestrates Scout, Tune, and the runtime — characterize your problem, benchmark the candidates, apply the winning config, and watch the solver work in real time.
Innovation Velocity
A pace of credible research that does not exist in the category.
One trillion scalar observations. One billion validated data points — the nearest competitor has thirty thousand. 821 billion function evaluations across 3.5 million instrumented trial runs. Zero retracted findings. Every number traces back to a test, a seed, and a verdict.
Innovation velocity
We keep building because the results keep surviving audit.
Every number on this site is traceable back to a test, a run, and a verdict in a live evidence register.