The deal intelligence platform built to reject bad deals.
What we do
DealIntel takes a property address and returns an institutional verdict — Proceed, Negotiate, or Pass — backed by a Monte-Carlo financial model and a confidence-weighted analysis across structural, market, financing, legal, and exit risk.
The platform is opinionated by design. Most deals are rejected. The ones that pass are the ones that survive a 25-point kill list, six strategy evaluations, and an exit-stress test before an offer letter is ever drafted.
Who we serve
DealIntel is built for serious capital — fix & flip operators, small private funds, syndicators, and investor-developers who evaluate dozens of properties a quarter and need a defensible, repeatable standard rather than gut feel.
It is not a retail listing aggregator and not a general MLS replacement. If a tool to find more deals is the goal, DealIntel is the wrong product. If the goal is to size, stress-test, and reject deals with institutional rigor, this is the platform.
How a deal is evaluated
1. Kill List — 25 deal-breaker checks
Every property is screened against 25 high-severity risk categories: zoning, title, structural integrity, market liquidity, comp confidence, financing feasibility, exit absorption, and more. A single critical flag is enough to trigger a Pass verdict before strategy work begins.
2. Six-strategy underwriting engine
Surviving deals are evaluated across six paths:
- Fix & Flip — short hold, retail resale
- ADU — accessory dwelling unit addition
- Addition — expand existing footprint
- Multi-Unit Conversion — single-family to plex
- Ground-Up Development — tear-down to new build
- Buy-and-Hold (BRRRR) — rent, refinance, recycle
Each strategy gets its own playbook, capital stack, timeline, and confidence-weighted ROI projection.
3. Financial model & financing scenarios
A Monte-Carlo financial engine runs 1,000+ simulations against the recommended strategy and surfaces P10 / P50 / P90 outcomes, stress-tested against rate, rehab, and absorption shocks. Financing options — hard money, DSCR, construction loan, conventional — are compared side-by-side with full capital-stack math.
4. Zoning, offer letter, and AI renovation vision
Zoning constraints, setback rules, and FAR limits are pulled per jurisdiction. An institutional-grade offer letter is generated from the verdict. The AI renovation vision module produces photoreal interior and exterior visualizations of the post-renovation property — usable for capital pitches and buyer-marketing prep.
5. Investment Memorandum (PDF)
Everything is packaged into a shareable institutional Investment Memorandum — committee-ready, lender-ready, partner-ready — exportable as a single PDF.
Markets & data
DealIntel operates across 50+ US metro markets with single-family, multi-unit, and ground-up development asset classes. Inputs are blended from MLS, public records, and confidence-weighted market signals — every number on the platform carries a confidence score so users know what is hard data versus inference.
Why we exist
Most deal-analysis tools optimize for finding more deals. The real cost in this business is not missed deals — it is the bad deal that closes. DealIntel is built around the inverse premise: knowing when not to invest is the most valuable number on the page.
Frequently asked questions
What exactly does DealIntel do?
DealIntel takes a property address and returns an institutional verdict — Proceed, Negotiate, or Pass — backed by a Monte-Carlo financial model (1,000+ simulations) and confidence-weighted analysis across structural, market, financing, legal, and exit risk. Each deal is evaluated against six strategies in parallel and a 25-point Kill List.
Who is DealIntel built for?
Serious real estate investors, fix & flip operators, syndicators, small private funds, and capital allocators who size and reject 5+ deals per quarter and need a defensible, institutional standard rather than gut feel. It is not a retail listing aggregator and not an MLS replacement.
How is DealIntel different from a spreadsheet?
A spreadsheet stores assumptions. DealIntel runs them. The platform applies the same 25-point kill list, six-strategy comparison, Monte-Carlo stress test, confidence-weighted comp set, and financing comparison on every deal — automatically, identically across users, with comps and risk weights kept current.
What is the Kill List?
A 25-point screen of high-severity risk categories across structural integrity, market liquidity, comp confidence, financing feasibility, exit absorption, zoning, title, and more. Any critical flag triggers a Pass or 'Review Terms' verdict before strategy and pricing work even begin.
Which markets does DealIntel cover?
50+ US metro markets across single-family, multi-unit, and ground-up development asset classes. Coverage continues to expand based on member demand.
Does DealIntel find deals for me?
No. DealIntel is opinionated about rejection, not discovery. It takes a property address (from MLS, wholesalers, or off-market sources) and tells you whether the deal survives institutional rigor. For lead generation, see /vs/propstream — those are complementary tools, not competitors.
Matt Abadi is the founder of DealIntel. He leads the development of the platform's six-strategy underwriting engine, 25-point Kill List, and Monte-Carlo financial model — the institutional analysis stack DealIntel applies to every fix and flip deal. DealIntel was founded in 2025 with the central thesis that knowing when not to invest is the most valuable number on the page.