Capture
Video · action · state · outcome
INFRASTRUCTURE / PHYSICAL INTELLIGENCE
Physic gives research teams the harness and pipelines to turn physical traces into trained, tested systems.
Instrument environments. Normalize multimodal trajectories. Run reproducible evaluations. Improve models against the outcomes that matter in the physical world.
THE SYSTEM
HARNESS + PIPELINES
Physic connects data production, model development, and evaluation in one continuous loop.
Video · action · state · outcome
Trajectories · tasks · verifiers
World models · policies · agents
Closed-loop · reproducible · real
THE HARNESS
EXPERIMENT / COMPARE / REPRODUCE
02
Run datasets, simulators, and physical systems through a common experimental interface.
Connect world models, policies, and agents without rebuilding the experiment around each model.
Record observations, predictions, actions, state transitions, and outcomes in one trace.
THE PIPELINES
TRACE → EVIDENCE → IMPROVEMENT
03
The scarce unit is a trace of work: what an expert observed, decided, corrected, and verified. Physic preserves that structure from capture through evaluation.
Align video, audio, sensors, software events, actions, and outcomes into model-ready trajectories.
Convert expert decisions and verified outcomes into tasks, verifiers, and failure taxonomies.
Turn model failures into replay sets, recovery traces, preferences, and targeted curricula.
THE RESEARCH TARGET
GENERAL ENGINEERING INTELLIGENCE
04
Generic vision-language scores do not measure whether a model can maintain world state, reason about constraints, plan an intervention, or recover when the world changes. Physic evaluates that full capability chain.
Objects · geometry · state
Persistence · change · history
Prediction · causality · physics
Constraints · tools · interaction
Sequence · uncertainty · tradeoffs
Control · recovery · verification
PHYSIC / WORLD MODEL INFRASTRUCTURE