I launched the company back in 2016,

again, Anoto Inc. again, helping people understand

if you've replaced the granite countertop,

how much more can you charge in terms of rent per month?

He's got about, call it 220 customers,

actually more than that, call it 400, 500,

just at different price points,

but just past a million bucks in terms of run rate.

They're looking to continue to the scale.

Currently burning about 50 grand a month, 2.2 million raised, about to raise another 1.2 million on a 10 million pre-priced round.

11 folks on the team, again, helping to drive for its profitability now, all based in Chicago.

5% revenue churn per month, so about 95% net retention, spending $2,400 to get a new customer.

So about a six-month payback period, again, as they look to increase the amount of rent rolls, TTIs, and an additional property data uploaded to their platform every single month.

Hello, everybody. My guest today is Mark Rutson. He's the co-founder and CEO of Anoto,

an automated underwriting platform for multifamily real estate. The company helps users analyze

more deals and less time and make better investment decisions backed by data science.

Utilizing machine learning, the platform collects cleans and analyzes real-time multifamily rent and availability data from over 2 million properties nationwide.

Mark, are you ready to take us to the top?

I'm ready.

All right.

So, interesting tool here.

Help us understand maybe a specific use case of a customer using your tool and then what your

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