Solver

SolvSRK

Keep simulating when sensor noise kills every other integrator.

Your model is stiff and your data is messy — the combination that sends BDF and RK pipelines into blow-ups, silent early stops, or runtimes that miss the HIL window. SolvSRK is built so GN&C, propulsion, and process teams finish trajectories they can trust, then ship the same binary from bench to embedded target.

Fewer failed integration runs and less time lost re-tuning after every noise scenario.
One C-native integrator from workstation through HIL to flight — no second engine on the vehicle.
Survives drift, vibration, and impulsive disturbances that break stock scipy/CVODE arms in validation.
Pairs with SolvScout so solver choice is evidence, not tribal knowledge.

Product documentation

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A single solver binary running identically across workstation, simulation, and embedded hardware.

Imagine yourself in these moments. Same product, different industries.

Automotive EV

The engineer at 2 AM.

She has been running a simulation for six hours. Battery thermal management for an electric vehicle. The model has to predict how 7,000 cells behave under fast charging, under desert heat, under a Minnesota winter. She hits run. Three hours later, the screen fills with infinities. The math exploded. She adjusts a parameter, guesses, hits run again. Another three hours. Another crash.

Now imagine a solver that does not crash on the messy data real systems actually produce. The run that used to fail at 2 AM finishes the first time.

Defense program office

The $12 million rewrite.

A defense contractor wins a $400 million contract to build an autonomous underwater vehicle. The navigation system runs differential equations in real time. The simulation tools work fine on the workstation. The embedded processor on the vehicle sees data the simulation never did. The math crashes. Test failed. Rewrite the code, re-run certification, re-schedule the sea trial. Three months. $12 million. For a math problem that should have been solved in software.

Commercial aviation

The anomaly that was not an anomaly.

A jet engine at 35,000 feet. The on-board controller says one thing. The cloud twin says another. The difference is three percent on a turbine outlet temperature. Is it a bearing starting to fail? Or is it just the simplified on-board model disagreeing with the full physics on the ground? The airline cannot tell. They schedule an inspection. The inspection finds nothing. Again.

With one solver on both sides, a divergence means a real physical change. Every time.