A continuous line becomes internet information, scarce robot experience, human interactions, and many hands feeding a model built and trained by WorldEngine. The same line forms a cycle of capture, structured experience, model learning, and evaluation. Deployment returns the model to the world, where new experience and failures shape the next training cycle. The story closes with two schematic scaling plots beneath the About us text: capability against data, once for digital intelligence, which learned the internet, and once for physical intelligence, marked where we are today and pointing toward a 10,000x goal.

AI learned the internet. Now it has to learn the world.

Augment humanity with physical intelligence.

WorldEngine’s mission is to achieve Physical AGI. We address whatever bottleneck stands in the way, starting with physical experience.

Digital intelligence found its scaling substrate.

Physical intelligence still lacks an equivalent learning substrate.

Teleoperated episode

Lab demonstration

Policy rollout

Scripted trajectory

Teleoperated episode

Lab demonstration

Policy rollout

Scripted trajectory

Today’s bottleneck is experience. Humanity is already generating it.

Billions of hands.
Millions of tasks.
Every day.

We make human experience learnable by models.

Reaching for a cup

Grasping a handle

Turning a key

Opening a drawer

Setting down a plate

Folding a towel

Stirring a pot

Wiping a table

Our first goal is to scale physical experience by 10,000x.

Scale where scale matters.
Precision where precision matters.

Scale

Model

Precision

Pre-training

Post-training · Alignment

Experience is only useful if models can learn from it.

We build physical datasets and train models that learn from them.

The Physical AGI loop.

We build a physical AI infrastructure layer connecting data, models, evaluation, and deployment.

Human experience becomes data that a physical agent can learn from.

The model learns from the physical world.

Evaluation reveals what the model still needs to learn. Its failures shape the next training cycle.

CaptureHuman experience

StructurePhysical data

TrainModels

EvaluateReal-world performance

WorldDeploy · Learn again

01Capture
02Structure
03Train
04Evaluate
World · Deploy · Learn again

About us

Toward Physical AGI.

Augment humanity with physical intelligence.

We work on whatever stands in the way of Physical AGI, starting with physical experience: capturing it at scale, structuring it, and training models that learn from it.

We are a small, deeply technical team with backgrounds in generative AI, agents, 3D, and robotics. We have spent years on the hard problems of embodied intelligence, and we are building the infrastructure to solve the rest.

Partner with us contact@worldengine.ai

Digital intelligenceScales with internet data.

Capability

Internet data

The internet

Physical intelligenceScales with physical data.