How's it going out there? It's Tuesday, April 21st.

I'm Frank Curzio. It's the Wall Street on Pub Podcast. We're making the headlines.

And tell you what's really moving these markets.

So I have an awesome interview set up for you today. It's with Jason Hein, who's a co-founder

and chief technical officer of a company called

Telescope Innovations.

Telescope is a remarkable company.

It builds robotic systems called self-driving labs for the largest pharmaceutical companies

in the world and uses AI to analyze these results.

So in short, they're able to use these robotic systems to cut down the time of drug discovery

from 10 to 12 years to just five, while cutting the cost of production for these costs

through clinical phase one, phase two, phase three, then FDA approval, which costs around

$2 billion by 75%.

Now, there's a lot of companies that say they do this.

We even have one in their portfolio right now that that's doing.

But this is a $22 million market cap company that just sold its second robotic system to Pfizer.

Second.

A lot of these large pharmaceutical companies, if you know, the industry, try lots of products out for the first time. They say, okay, we'll try it. We'll see how it is. I mean, you talk about multi-billion dollar giants. Some of them is, when you look at Eli, is almost a trillion dollar company these days, right? These pharmaceuticals are getting bigger and bigger the largest. And they try out these products. For Pfizer to buy two of these

and by its second one means that they're impressed and it's working. And it's working because

it saves them a shitload of money. And it allows some more drugs to compounds to be discovered.

It also provides a system where usually you have, and Jason's going to talk about this in an interview, you have a bunch of people that are working on this, and it replaces them. So you don't have to deal with certain hours of the day that companies are working where these, you know, the robotic systems and the self-driving labs are going 24-7. You don't have to worry about healthcare costs. You don't have to worry about, you know, craziness with their HR department. So these things are nonstop, but it saves a lot of money. And also you're throwing AI into the fold. And it's analyzing these results showing, like, what's the best way to bring these drugs to discovery and the compounds, which millions of compounds are sitting in labs and sitting on the shells in some of these large pharmaceutical

companies because it costs so much.

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