Why we started
Seamless.

We started Seamless because our laptops couldn’t run the software we wanted to use.

Some games wouldn’t run. Blender renders took too long. We kept hitting the same limits: not enough RAM, a weak CPU, or a GPU that couldn’t keep up.

Meanwhile, another laptop could be sitting idle. We wanted to use its spare compute to help the one doing the work.

That became Seamless: a way to share CPU, GPU, and RAM across your own devices and other people’s computers, while your apps stay local.

The same problem is growing beyond laptops. Drones, humanoid robots, smart glasses, rings, and pins have limited space for compute. As AI models do more, those limits matter more.

We’re building toward networks of shared compute that can support language and vision-language-action models, games, rendering, and simulations that a single device cannot run alone.

Matei and Mihnea
Yale University