Deepak Pathak

And the reason for that is data exists on the internet for language or vision.

But robotics, there is no internet of robotics today.

So what we do is we look for alternate sources.

One such source is human videos.

We look at how humans operate in their scenarios, in your kitchen, while working in factories, and combine that with training from simulation, which companies like NVIDIA invest a lot on, like Omniverse and all those.

So these two things, watching people and then practicing in simulation, that's how we combine and scale these models to large scale.

Your software can be put within the GPU.

And what's interesting is you're already going from what we understand, zero to tens of millions of dollars, Deepak, in revenue in just a few months in 2025.

Where's that revenue coming from?

Who is using your software already?

Yeah.

So the revenue has mostly been from the enterprise applications.

And the idea is, instead of...

Instead of going for, our end goal is a consumer, home-like applications.

But right now, since it's just the beginning of the field, we are taking this model and we are deploying it in a variety of applications.

We are deploying robots in sectors like point-to-point delivery applications, security applications, data centers, and manufacturing and warehouse.

So the revenue is coming from most of these applications.

You were born out of academia and you're still Professor Carnegie Mellon.

But what's interesting is you're not without some competition out there.

I think about physical intelligence, for example.