Chris Heineken

So the level of engagement that we have with them can span

you know, a hundred, $200,000 on up from there, depending upon how robust they want to build artificial intelligence into their infrastructure.

The interesting thing about what we do is we do a lot of decision support outsourcing.

So some companies we're working with have, for example, data science teams that can build and maintain the algorithms once we get them going.

Many of our customers don't have that.

And often they will work with us to help support, do the care and feeding of the work that we're implementing.

So it actually, we see both scenarios.

We have just north of 30 customers today.

So we've been in business for 18 months.

We got going in early 2018, and it's been a fantastic ride for the last 18 months.

And it's a really interesting kind of captivating space.

It's kind of a little bit Wild West pioneering days.

And that's what it kind of feels like when we're working with our customers.

We definitely see a lot of patterns and industry patterns, if you will.

We work with, for example...

Some universities, for profit, not for profit, and some of the challenges they're looking to solve for, whether it's enrollment and improving their enrollment or improving their student attrition.

Those are all interesting problems that many different universities are going after, and they share a lot of the same features and data sets.

So we haven't gotten into a place where we started to build out data.

product and nor do I think we're going to go to that place just because I think being a consulting business and a services provider has a, it's just a very different DNA than a product company.

So we'll certainly dabble with helping companies with reusable assets, um, assets that will help with accelerating projects, but we don't plan to get into a product space.