Deal Radar

Every deal, on the radar.

Deal intelligence for commercial real estate acquisition teams. Drop in an offering memorandum and Claude reads it, scores the deal against the firm's own acquisition criteria with the quote and page number behind every call, and keeps it tracked from first look to close.

Web · 2026

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In pilot with a New York acquisitions firm, with workspaces set up firm by firm. Run a CRE acquisitions team? Request a pilot.

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Radar

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My coverageAll tiersHealthReceived

5 deals · 1 new this week

PropertyScore ↓TierCapAskHealth

Fordham Road Urban RetailBronx, NY 95.3 Strong Match 6.40% $18M Offers due Oct 3

Greenpoint Grocery AnchorBrooklyn, NY 93.6 Strong Match 6.10% $25M On track

Flushing Crossing RetailFlushing, NYNEW 88.5 Strong Match 6.30% $20M On track

Paramus CommonsParamus, NJ 74.0 Worth Reviewing 6.90% $37M On track

Hicksville Flex ParkHicksville, NY 58.0 Marginal 5.80% $14M Past due

Scored against your criteria sets · sorted by score

Review instead of retype

Paste the broker email or drop the OM. Minutes later it's a structured deal, with a confidence rating on every number Claude pulled out.

Your box, applied the same way every time

Each deal is scored against the firm's own weighted criteria. Every call comes with a rationale and the quote and page from the OM behind it. The AI cites; your thresholds decide.

Deadlines you can see coming

Call-for-offers, DD and closing dates and overdue diligence items drive a health signal that says why: "Offers due Oct 3", not just a red dot.

From first look to close

A pipeline with dollar totals per stage, an offer log, a diligence checklist per asset class, and underwriting with IRR, debt sizing and an exit-cap sensitivity grid.

Set up the way the firm works

Stage names, buy box, checklist templates, sign-off gates and underwriting defaults all come from guided setup, so the tool fits the firm rather than the other way around.

Each firm's data walled off

Every firm gets its own workspace, isolated at the database layer. Admins control who's in, with read-only viewers and optional visibility walls by coverage.

Why it exists

A commercial real estate acquisitions team sees hundreds of deals a year, and every one arrives the same way: an offering memorandum in an inbox. Most get skimmed, a few get modeled, and the rest pile up. Somewhere in the pile is the deal the firm would have bought. Spreadsheets and generic CRMs don't help, because a deal in them is only what someone had time to type in.

Deal Radar reads every OM that comes in. Claude pulls out the property, the numbers and the risks, then scores the deal against the firm's own acquisition criteria. Each call comes with the quote and the page it's based on. The judgment stays with the team; the retyping doesn't.

Built with a pilot firm

It's being built alongside a New York acquisitions firm, and shaped by how deals actually move there: calls for offers, investment committee sign-offs, diligence deadlines and closings. Each firm gets its own workspace, set up to match how it works.