Marc Rutzen

I'm ready.

Yeah.

So we are a pure play SaaS company.

Okay.

So what we do, if there's a value-add investor who's looking to tell, you know, if I'm going to do a value-add, what happens if I add the granite countertops, the hardwood floors, the roof deck?

What if I do this to a multifamily property?

What am I going to be able to get and rent for each of those improvements?

The simplest use case is a value-add investor can put in their deal parameters, toggle those amenities on and off, and actually see what rent lift they'll get before they spend money on those improvements using our machine learning algorithm.

The top tier is 500 a month and the bottom tier is 100 a month.

I'd say actually more lean toward the 500.

Okay.

Okay, cool.

Historical data that are included there.

Yeah, so we actually help people source deals.

So people are constantly trying to figure out if a deal is going to be a good undervalued play or not.

what our platform allows you to do is very quickly load a rent roll into the platform it'll parse it and analyze and see if your rents are at market or if there's upside load your t12 your uh trailing operating expenses it will load it into the platform very quickly and then compare to market benchmarks and tell you if your expenses are above or below market and then ultimately in just a few minutes you've actually got a full underwriting model of the plat of the deal

And you can see if it's a good deal or not.

It's that whole adage that you got to look at 100 properties, make offers on 10, and then ultimately close on one.

We help you do that 100 properties part in about a 10th of the time it would typically take.

So we get data directly from the source.