Robotics · 57Blocks

✸ The problem

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

Photorealistic simulated environments, streamed efficiently, with data collected and annotated inside 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