Brett Adcock

It's like literally never in the same spot.

It's like when you touch it, it's like actually moving.

Or we do like these like packages on this manufacturing conveyor system that like you grab it, it's literally moving.

It's moving because the conveyor is moving down and then the packages are squishing each other.

And then the package itself is moving because it's plastic when you're grabbing it.

Those are the hard things that are compliant that are like really difficult for robotics.

Because they're not like stationary when you touch them.

So those are the things that were like, man, that's going to be really tough to fold laundry.

And with code, it's been impossible.

The reason you haven't seen, like, package logistics and stuff, some of this stuff automated is because, like, these bags are just, like, they're compliant.

They're just tough.

You can't model them.

Yeah.

And now we have, like, we put it all in a neural net.

They basically instantly worked.

When we were working with our, we have a logistics customer we were working with.

They did, like, soft packages.

And we signed them.

They're like, we want you to move these packages on the Symbara system.

And we've put videos out about it and stuff.