Sviat Dulianinov

"I think the interesting thing is like why we focus on AI infrastructure. The first reason was it is A, complex, but B really expensive. And so these customers really focus a lot of attention of how it is produced, how to gain more efficiency, what's the yield, the quality of those items?"

"I joined the company three years ago, and strategy- wise we narrowed down what we call AI backbone. For us it means AI infrastructure and everything that goes to the data center. And it's mostly servers that use GPUs from Nvidia, from that event that you went to, and that we build them with our robotics and software instead of manual labor."

"Pharmaceuticals, no, but like other electronics, manufacturing could be. Right now we focus on, as I mentioned, AI infrastructure, but later it could be something adjacent."

"It's a lot of disassembly, recycling, and reuse happening too, because if you think about the trends, everybody is trying to build data centers. A, you cannot build greenfield new data centers forever. So they also take out older data centers and take out kind of new servers. They're two, three years old. It's a waste if you just throw it away. But they want to disassemble it, reuse, recycle, resell. So that's a big market movement that we also see."

"Software defined smart automation unlocks that because just standard automation when you pre- program everything would not be able to do that."

"What we're also trying to do, like we are doing, we have this platform that runs, conveying several robots, and it all should work cohesively together. And that's how you bring it to the floor and that's how you create results."