Jackson Reiter is one of the co-founders of Realm AI, which builds autonomous AI agents for commercial real estate due diligence. Realm can research anything from a tower in Lower Manhattan to a duplex in Iowa. Jackson studied economics and worked in real estate and marketing, and is based in New York City. He joined us in Episode 47 (June 19, 2026) and demoed the product.
The problem, Jackson said at 02:38, is that commercial real estate data is digitized but fragmented, with no single source of truth. All three co-founders come from real estate, and the CTO has a finance background.
About half of Realm's clients are investment firms looking to buy. A typical user is an analyst handed 10 potential deals a week by a managing director. Without Realm, Jackson said, that analyst logs into a tax assessor portal, downloads a PDF and types the values into Excel by hand. He once watched a sophisticated investor model a New Jersey deal on a printed spreadsheet with a button calculator, less than five years ago.
At 02:38 Jackson walked through Realm's self-serve platform, where subscribers can research any property in the US, with Canada coming. Dozens of agents compile tax information and ownership records, then build a full ten-year pro forma. Every number is cited, so you can go back and check the source.
At 04:31 he showed the second form factor: the same agents inside Microsoft Excel through a plug-in the CTO led. At 05:15 he described the Realm Report, a white-glove product for a deal that is moving forward. It goes 10 times deeper and is a one-to-one client relationship.
Sam asked at 06:08 whether Realm replaces 20 separate data subscriptions. Jackson said it covers almost everything pertinent to a deal through a waterfall: direct data-feed partners first, then public and government sources like New York City's housing data, then search. Coverage can be thinner in rural or underserved areas, and Realm never returns owners' personal details.
We will not do that specifically because, we genuinely and, wholeheartedly wanna make sure that we stay as the research partner, and we are a tool for them to do their research rather than a recommendation part of it.
— Jackson Reiter, Episode 47
Well, they have three analysts, and they're getting to the deal table quicker with an offer because they're able to model things quicker, with better data.
— Jackson Reiter, Episode 47
On the SpaceX IPO, Jackson argued that valuations have moved from earnings multiples to bets on opportunity, and he wasn't sure that's a bad thing. He also noted that Realm uses Cursor, which made it, as he put it, a Cursor-by-SpaceX customer after the acquisition. For more on property tech from the show, see AI in real estate and our episode on AI home inspections from a phone video.
Jackson Reiter is one of the co-founders of Realm AI, based in New York City. He studied economics and has a background in real estate and marketing.
Realm AI builds autonomous AI agents for commercial real estate due diligence. Its self-serve platform and Excel plug-in research any US property and build a ten-year pro forma with every source cited, and the Realm Report goes 10 times deeper on deals moving forward.
From a waterfall of providers: direct data-feed partnerships first, then public sources and government sources such as New York City's online housing data, then simple search for the rest.
No. Jackson says Realm stays a research tool because firms see their investment criteria as their competitive advantage.
Mostly small and medium investment firms, such as two principals and three analysts, plus some bigger firms. About half of Realm's clients are investment firms looking to buy properties.
