INFRASTRUCTURE / PHYSICAL INTELLIGENCE

The research stack for world models.

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

Models should be measured against the world they are expected to control.

Physic connects data production, model development, and evaluation in one continuous loop.

01FLOW

Capture

Video · action · state · outcome

02FLOW

Structure

Trajectories · tasks · verifiers

03FLOW

Train

World models · policies · agents

04VERIFY

Evaluate

Closed-loop · reproducible · real

THE HARNESS

EXPERIMENT / COMPARE / REPRODUCE

02

A common runtime for research across environments and embodiments.

RUN / WM-0048● LIVE
MODELπworldADAPTER / CONNECTED
VERIFIERPASSOUTCOME / CONFIRMED
A

Environment orchestration

Run datasets, simulators, and physical systems through a common experimental interface.

B

Model adapters

Connect world models, policies, and agents without rebuilding the experiment around each model.

C

Evaluation runtime

Record observations, predictions, actions, state transitions, and outcomes in one trace.

THE PIPELINES

TRACE → EVIDENCE → IMPROVEMENT

03

The best training data comes from actual work.

The scarce unit is a trace of work: what an expert observed, decided, corrected, and verified. Physic preserves that structure from capture through evaluation.

01TRAJECTORIES

Data pipeline

Align video, audio, sensors, software events, actions, and outcomes into model-ready trajectories.

02EVALUATIONS

Evaluation pipeline

Convert expert decisions and verified outcomes into tasks, verifiers, and failure taxonomies.

03SUPERVISION

Improvement pipeline

Turn model failures into replay sets, recovery traces, preferences, and targeted curricula.

THE RESEARCH TARGET

GENERAL ENGINEERING INTELLIGENCE

04

Built for models that must understand and act.

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.

01

Perception

Objects · geometry · state

02

Memory

Persistence · change · history

03

Dynamics

Prediction · causality · physics

04

Affordance

Constraints · tools · interaction

05

Planning

Sequence · uncertainty · tradeoffs

06

Action

Control · recovery · verification

PHYSIC / WORLD MODEL INFRASTRUCTURE

Turn physical work into learning systems. Then test them against reality.