SolvJump Configurator

Release: Beta — core workflows available; some capabilities still maturing

On-prem engineering accelerator for parameter sweeps

SolvJump is an on-prem engineering accelerator for long-horizon parameter exploration. It calibrates coarse jump propagators from short SolvSRK runs, sweeps parameters at ground speed when physics gates pass, then proves finalists with a golden SolvSRK run. Jump speed is scenario- and gate-dependent: a study may complete via jump, adaptive MFBO, or a full-SRK screen.

SolvJump finds the parameters. SolvSRK proves them. SolvSRK-Edge flies them.

SolvJump never ships onboard — only the golden SolvSRK config from the final full run goes to SolvSRK-Edge. Customer physics never leaves their environment.

What it does

Simulation engineers run thousands of parameter combinations — battery configs, chemistry rate constants, comm window geometries — before freezing an onboard config. Full time-stepped SolvSRK is the truth oracle but expensive at scale.

SolvJump is the ground-side accelerator. It calibrates a coarse jump propagator from short SolvSRK runs and sweeps parameters when physics gates pass. Speed versus integrating every grid point with SolvSRK is scenario- and gate-dependent: jump, adaptive MFBO, or a full-SRK screen are all valid completions. Ranked finalists are proven with a golden SolvSRK run. SolvJump never ships onboard — only the proven SolvSRK config goes to SolvSRK-Edge.

The python/examples/ bundle is the product tutorial: models, study YAMLs, and guided journeys 01–14 covering license, YAML, Session, refusal, golden proof, rank verification, and satellite-scale HPC gating.

When to use it

Digital-twin teams, materials discovery, GN&C trade studies — any workflow where you explore a parameter space before certifying one config for deployment.

See Examples for runnable code.

Who it is for

• Simulation engineers running expensive parameter sweeps before freezing onboard configs
• Digital-twin teams calibrating models for HIL and field deployment
• Materials discovery and design-space exploration programs

What ships

• Python package (solvjump) with CLI and Python Session
• Study YAML workflow: calibrate → sweep → golden run
• Native predict/seal operators in libsolvjump
• Beta operator pack: 256 routable operators plus explicit terminal metadata

Related products

Requires SolvSRK. Output deploys via SolvSRK-Edge.