Grant Harvey

As in like your models in space?

You mean the space more abstractly?

So hard.

Doing good, doing good.

Very excited today because we are talking to Nick Tolkien, CEO and co-founder of Albert Invent, an AI platform that is transforming how chemistry gets done at some of the world's biggest companies.

Excellent.

That's awesome.

So I'm really excited to talk to you because I feel like right now we've gotten to a point where the AI agents that we know of today, some people can use them well, some people are finding the limits of how useful they are, especially in like workplace, B2B, SaaS, that area.

But I feel like AI and science is the untapped kind of like area that is the most exciting where there's the most potential benefit for good.

And I'm just like really excited to talk about it from that standpoint, especially for chemistry.

So for folks who aren't chemists, when you say Albert is trained on 15 million molecular structures, what does that actually mean?

You want to just walk us through that?

Yeah.

Do you get any pushback from enterprise clients on that who don't want to share their data?

Because I feel like that is one of the biggest problems with trying to innovate in science is you have all these independent players who are trying to gatekeep knowledge to a certain extent so that they can benefit from it.

How are you thinking about that in terms of like the efforts to onshore manufacturing in the US and, you know, like how much of, yeah, just in general, what are your thoughts on that topic?

Yeah, yeah, yeah, for sure.

So is that, are you doing that with the, like in simulation at some point or are you just, okay, cool.

100%.

Well, they say you can tokenize everything, right?