Nick Talken

Hey, guys.

Great to be here, and thanks for having me.

Yeah, it's a fun story.

So yeah, Ken has been in the chemical industry for about 25 years before that.

He actually grew up in his dad's paint factory.

So the story goes even farther back, and maybe you'll have to get him on the podcast at some point to tell that part of the story.

But

Yeah, back in 2014, he pulled a trailer into his backyard to start his third material science business.

That company, as he said, was called Molecule.

And it was really about changing the way that chemistry is invented because he was frustrated that it hadn't really changed in his entire career in the industry.

And so it was a great opportunity for me to join him and help him on that mission.

Yeah, so one of our core beliefs as a company is that you can't just take off-the-shelf generic large language models, gen AI, machine learning, whatever, and start applying it to science.

I think if it was that easy, it would have been done a long time ago.

And so what you have to do instead is you have to take advantage of the underlying data that exists out there in the world.

And there's basically two forms of data that exists out there.

There's the publicly available data.

So that's the patent landscape, the literature, stuff coming out of academia.

And then there's the enterprise data.

And our mission at Albert is to help the largest and the biggest enterprises take advantage of both of those sources.

So the public, the private.