Capabilities Robotics

Physical-AI simulation infrastructure, built for production.

Robots learn fastest in simulation, so the real bottleneck is generating realistic virtual worlds and turning them into training data. We build the full simulation platform and data pipeline that physical-AI and robotics teams need to train robots at scale.

The gap

The hard part isn't the model. It's the platform.

The hard part of robotics is rarely a single model. It is the platform around it: building photorealistic simulated environments, streaming them efficiently, collecting and annotating data in them, and turning all of it into training data faster and at a scale real-world collection cannot match. We have engineered that full stack to production, and we bring it to teams who have the research but not the platform.

What we build

From a research idea to scalable training data.

One capability, spanning the whole pipeline a physical-AI team needs.

Simulation environment platforms

Cloud platforms for hosting, sharing, and interacting with simulated robotics environments, with browser-based 3D scene and physics editing that does not require writing code.

Streaming simulation SDKs

SDKs for on-demand streaming and loading of simulation components, so large, heavy scenes run without heavy clients.

Virtual-to-real data pipelines

Pipelines that turn symbolic simulations into photorealistic training data, the core of scaling robot training beyond what real-world data alone allows.

World-builder AI

Generative systems that turn a concept into a usable virtual training environment in seconds.

VR data collection and annotation

WebXR environments for collecting and annotating training data in virtual reality, hardened for device compatibility and stability.

ML training-data infrastructure

Logging and analytics for capturing and organizing large volumes of model-training data, plus photorealistic scene reconstruction from real-world photos via Gaussian splatting.

The stack we work in

Simulation, rendering, and training.

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How we engage

Scoped or sustained.

A Blueprint scopes the simulation or data-infrastructure layer and proves it. An engineering subscription carries sustained platform work at a fixed fee with quality gates.

Building in
physical AI?

If you have the research and need the platform, we have built exactly this. Tell us where you are.