The first pass, before the full model.
Screen listings and OMs in 60 seconds. Kill what doesn't pencil before it burns analyst hours, and send the survivors to ARGUS.
Bringing the whole team? See Team pricing
Why acquisitions teams use Realastat
Most deals die. Stop paying full price to kill them.
Analysts spend 20 to 30 minutes pulling figures out of each OM before anyone can say kill or proceed. At 10 to 15 deals a week, that is an afternoon lost to deals that mostly go nowhere.
Listing to KPIs in one upload.
Upload the listing or OM screenshots and Realastat extracts price, taxes, rents, and unit details, then runs the full underwriting: NOI, cap rate, DSCR, cash-on-cash, break-even rent, and a max offer solved by re-running the model until the deal stops clearing your thresholds. The AI extracts; deterministic code computes. The kill-or-proceed call takes a minute instead of half an hour.
KPIs your committee can read at a glance.
Every deal gets a dashboard built around the metrics that decide the meeting. No reformatting numbers for leadership, no rebuilding the same summary tab. Pull up the deal, walk through the widgets, make the call.
Clean, extensive breakdown of all the data. I really like the widgets to amplify the real important KPIs.
Stress-test, then hand off to the full model.
Adjust rate, vacancy, rents, or purchase price and every metric recalculates live. When a deal survives the first pass, export to Excel with inputs, metrics, and projections already populated with live formulas. Your analysts start the real model with the data entry already done.
One deal library for the whole team. Claude on top.
Team plans add a shared deal library, member roles, an org-level buy box, and an activity timeline, so acquisitions and asset management work from the same screened set. Connect Claude through our native MCP integration and anyone on the team can query live deal data, run scenarios, or compare properties in plain English.
“Compare the two mid-Missouri deals we saved this week and show DSCR at a 7.5% rate.”
From the founder
Why I built an analyzer that keeps saying no
I was hunting multifamily in San Francisco. Every agent had a story; none had numbers that worked. And checking each story cost me 20 minutes of typing price, rents, taxes, unit mix, manually by hand into a calculator or a spreadsheet template while the good listings went pending.
Twenty minutes of data entry to learn a deal doesn't work is a bad trade. So I built an engine that does the typing for me: screenshot the listing, the AI pulls out every input, and uses math formulas that AI can't touch.
The engine told me the truth: at ask prices, almost nothing in San Francisco penciled. We walked away because of it. I never bought a bad building, and now I run the same numbers in Mid Missouri, where I have family and the deals cash flow.
That's what you're signing up for: the fastest honest no in real estate, with none of the typing, and every input yours to check.
Ryan · Founder, Realastat
Frequently Asked Questions
Give your analysts their afternoons back.
- 3 complete analyses: screenshot in, full underwriting out
- The solved max offer on every deal, the exact price where it stops penciling
- Duplicate any deal and re-underwrite it under different assumptions
- Excel export with live formulas, yours to keep
Upgrade only if it earns it. Pro is $39/month.