Boost Robotics Alternatives

Network for Physical AI Data Business

Physical AI — robots and world models — is bottlenecked on one thing: diverse, real-world data at massive scale showing how humans actually do work in the physical world. It was never written down, and you can't buy it, because no one has ever captured it. Only real local experts, the people who do this work every day,...

Virtual Reality for Training Robots

Our first model, Atom 1, pre-trained on the internets video, and fine tuned for physics. It has been action conditioned, so you can simulate robot actions within it. This lets Robot Labs train their robots using GPUs instead of relying on human collected manual data that is slow and expensive. In unseen and hard to rep...

We build and operate underwater data centers.

We build underwater data centers to cut power usage by up to 30%, operating GPUs cheaper and more sustainably. Our 1 MW capsule is being tested underwater in the SF Bay

Robotic Training Data at Scale

Sensei helps robotics companies scale and outsource their training data collection. Our hardware platform enables the collection of human-demonstration data at a tenth of the cost and twice the speed of current teleop approaches. Our software platform acts like Scale AI for robotics data: a large network of paid human ...

Robots for high skilled labor powering AI infrastructure

Shepherd Robotics builds general purpose robots for skilled physical work across AI infrastructure and advanced manufacturing. Our robots are powered by robot foundation models and use modular, flexible hardware designed to adapt to different environments and tasks. We train our systems on a combination of real world a...

Building a nervous system for the atmosphere

Sorcerer is deploying a global network of persistent airborne sensors to fuel advanced weather forecasting. Our high-altitude balloons collect 1000x more data than existing systems and are already used daily by meteorologists to track extreme weather across the US and Central America.