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An AI strategy that pencils.

For developers and investors — AI on the deal side: screening, underwriting, due diligence, and feasibility. You set the assumptions and make the call. The machine does the keying, the reading, and the chasing.

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Where the hours go

Deals die in the queue

The good ones move before your model does. Screening capacity is gated by analyst hours spent keying rent rolls and T-12s into Excel — so you pass on deals you never actually got to look at.

Underwriting is data entry in disguise

First-pass underwriting takes days, and most of it is retyping numbers that already exist in the OM, the rent roll, and the operating statements. Your analysts should be testing assumptions, not transcribing PDFs.

Due diligence is a document mountain

A data room with hundreds of PDFs — leases, titles, loan docs. A 200-lease portfolio can eat 3 analysts for a month, and manual review still misses the co-tenancy exposure and the below-market renewal options.

Automation that pays for itself

Deal screening & underwriting support

AI reads the OM, rent roll, and T-12 and pushes structured numbers straight into your Excel or Argus model — so first-pass underwriting happens in hours, not days, and you triage 5x the deal flow with the same team. It won't predict Houston rents. It will let you test 20 rent-and-cost scenarios before lunch.

Days to hours
first-pass underwriting time, as adopting firms report

Due-diligence document intelligence

Every lease abstracted, every escalation and renewal option flagged portfolio-wide, every extracted figure cited back to its source page so your attorney can verify in one click. Data-room review compresses from weeks to days — which means you can bid faster without cutting corners.

70–90%
faster lease abstraction, as adopters report

Feasibility & the development back office

Test thousands of site-plan and unit-mix options against the pro forma before you pay for design. Research entitlement risk from planning records. Then let AI draft the draw packages, lender packets, and investor reports your team assembles by hand today.

1,000s
of massing and unit-mix options tested against your pro forma in minutes

The honest picture

  • 88% of real-estate investors and owners are piloting AI. 5% say they've hit their goals (JLL, 2025). The gap isn't the tools — it's that nobody wired them into how the shop actually moves a deal from broker email to close. That wiring is what we do.
  • We're vendor-neutral integrators, not another point tool. The underwriting parsers, DD platforms, and feasibility engines exist — our job is picking the right 2 or 3 for a 10-to-50-person firm and connecting them to your models, your data room, and your reporting.
  • We're doing this work now with a Houston commercial developer — mapping AI across their pipeline end to end, from site selection to close.
  • Texas's new AI law (TRAIGA) took effect January 1, 2026, and fair-housing rules make some property AI genuinely risky. We build inside the lines and steer you away from the lawsuits.

Book a free 30-minute strategy consult.

Bring one live deal or your pipeline. We'll show you where AI takes days out of your process — screening, diligence, or the back office — and what it costs. If your process is already dialed in, we'll say so.