Alex Wiltschko

Normally, before OSMO, very, very well-trained, specialized people would look at that data.

And, you know, that's still mostly the way that that data is interpreted is by people.

And what we've developed is a suite of AI tools to either augment in some cases or automate the analysis of the data that comes off of those devices.

And that creates a firehose of data for us.

So we know what different physical things smell like.

We know what different market products smell like.

And that's our core business is we actually design fragrances for brands.

That's the way in which we're building the business to continue funding the curiosity to market.

move to the next step of Shazam for smell, and then to move to the next step of sniffing cancer.

I love that.

We sell perfumes to get to Shazam for smell, and then we build both of those businesses to ultimately detect disease, which is, that's the Holy Grail.

I mean, I can see a path to detecting scent already today.

We do that for some customers.

So there's an article about this online, but we've sniffed fake Air Jordans at StockX.

So fake shoes smell different than real shoes.

And that has to do with how they're constructed.

So we already have a team and we already have a technology that can smell as well as our nose can.

That's not our main business today.

So we want to continue to develop the technology to take it from the size that it is, which is, I mean, it's not small, but it's not big.

You can hold it and move it around.