See more deals clearly.
Find the angles others miss.
DealGenie helps commercial real estate investors turn inbound deal flow into ranked opportunities, market-backed conviction, and creative strategy paths -- with explainable outputs, editable assumptions, and workflows tailored to your firm.
Inbound queue
3 deals scoredLakeside Industrial
OM + rent roll parsed
82
Advance
Northgate Office
Parsed
41
Hold
Ridgeway Retail
Parsed
64
Review
First-pass assessment
Lakeside Industrial Portfolio
Columbus, OH - 412,000 SF - Ask $64.2M
Strategy fit
82
Vacancy
4.2%
Rent growth
+6.1%
Price vs comps
+18%
Why this matters
Infill industrial exposure in a submarket where your firm is under-allocated, with below-market in-place rents on a 2028 rollover tranche and optional portfolio break-up upside.
Most AI deal tools save time by stripping out judgment.
Teams are buried in inbound deal flow. Most first-pass reviews are a mix of OM skimming, quick math, scattered market checks, and instinct. New AI tools make that faster -- but often by flattening the work into a black-box score or a generic summary.
That creates a new problem: speed without signal, and automation without edge.
Faster review, weaker signal
Generic summaries and black-box scores move quickly, but they do not explain what makes a deal worth deeper time.
Good deals get binned too early
First-pass triage collapses to a yes/no before anyone asks how the deal could actually work.
Everyone sees the same answer
Without firm-specific context and creative paths, AI output becomes a commodity instead of an investment edge.
Turn first-pass review into investment conviction.
DealGenie combines broker materials, financial screening, market context, transaction signals, strategy fit, and explainable reasoning into one inspectable first-pass view.
So your team moves from asking whether a deal deserves time to understanding why it is interesting, what could make it work, and what should be tested next.
Current
Is this deal worth time?
Output
A quick yes/no with thin context and little confidence in what to test next.
DealGenie
Why is it interesting, what could make it work, and what should we test next?
Output
A ranked assessment with rationale, risks, assumptions, strategy paths, and next tests in one decision artifact.
What you get, deal by deal
Every deal comes back as a concrete decision artifact -- not a score you have to trust on faith. Ranked assessment, rationale, risks, and strategy options in one inspectable view.
First-pass assessment
412,000 SF - 3 assets - Ask $64.2M
Strategy fit
82 / 100
Why this matters
Three-asset infill industrial portfolio in a market where your firm is under-allocated. Approximately 22% of space rolls in 2028 at in-place rents below current submarket, while the balance of the portfolio remains supported by longer-duration income. A break-up or selective asset sale could accelerate basis reduction and improve exit flexibility. About 22% of NRA rolls in 2028 at below-market in-place rents, creating the primary mark-to-market opportunity within an otherwise stable cash-flow profile.
Flags
- Submarket rent growth 120 bps above metro average
- WALT 6.4 yrs; top-3 tenants are investment-grade or equivalent credit
- Deferred capital visible: roof and HVAC work likely within 24 months
- Ask is 18% above recent comparable trades on a $/SF basis
Market context
Strategy options
Core-plus hold
Capture mark-to-market on the 2028 rollover tranche and underwrite only required roof / HVAC and leasing costs.
IRR 11.8% - EM 1.7x
Light reposition
Refresh office finish, signage, and exterior presentation; pair targeted capex with stronger renewal / backfill assumptions on 2028 rollover.
IRR 14.3% - EM 1.9x
Portfolio break-up
Sell the most liquid asset separately and use proceeds to reset basis on the remaining portfolio.
IRR 16.1% - EM 2.1x
Key assumptions
Model note
Every number remains editable and tied to a source, assumption set, or firm overlay. Adjust vacancy, rent growth, downtime, capex, exit cap, or other line items in natural language, then rerun cash flow and return metrics with auditable logic.
Suggested next steps
- Confirm 2028 rollover tenant renewal probability and downtime assumptions
- Scope roof / HVAC capital needs and timing
- Test selective asset-sale pricing and debt implications
A better first 20 minutes.
Own the moment an inbound deal actually gets reviewed. Replace scattered tabs and gut calls with a structured, inspectable view your team can defend.
Manual, fragmented triage
- Skim the OM
- Check maps and public data
- Build a quick one-tab screen
- Hunt for market context
- Decide what deserves attention
The output: a rushed yes/no and a tab graveyard.
A structured first-pass view
- Ranked first-pass assessment tied to your strategy
- Market, macro, and comp context on one screen
- Risks, blind spots, and strategy-specific next steps
- Supporting logic you can inspect before anyone goes deeper
The output: a decision artifact your team can challenge, defend, and act on.
Don't just reject deals faster. Discover better plays.
The most valuable use of AI in real estate is not replacing judgment with a faster pass/fail. It is helping investors explore the strategies they usually do not have time to test at the start.
DealGenie surfaces the angles your team would run if they had a full week -- in the first 20 minutes.
Strategy comparison
Four plays, one first-pass view
Core-plus hold
11.8%
Lower execution risk
Good
Light reposition
14.3%
Capex and leasing execution sensitive
Strong
Portfolio break-up
16.1%
Disposition and structuring complexity
Best
Broker base case
9.6%
Limited upside captured
Weak
Hold / reposition / break-up
Test what the asset or portfolio looks like in each path before committing to a business plan.
Capital structure changes
Explore conservative, moderate, and aggressive structures with explicit assumptions.
Tenant changes
Mark-to-market, re-tenant, or right-size the rent roll with transparent inputs.
Redevelopment angles
Model reposition, expansion, or change-of-use paths without leaving the first pass.
Portfolio carve-outs
Separate the good assets from the noise and test carve-out economics early.
Downside protections
Pressure-test covenants, reserves, and structural protections against realistic downside.
Alternate execution paths
Compare the playbook the broker pitched against the playbook your firm would actually run.
Your process should stay yours.
If every firm uses the same automated screening output, every firm sees the same opportunities. DealGenie is built so firms can embed how they actually invest -- so the platform reflects your edge, not a generic default.
Assumptions, data mix, strategy overlays, and workflow rules all live under your control.
Transparent by design. Configurable by default.
DealGenie helps teams move from raw deal materials to defensible first-pass decisions by combining extraction, research and strategy overlays to build editable financial models -- so users can see not just the answer, but what is driving it.
01
Start with the real deal
DealGenie begins with the materials your team already works from: broker emails, OMs, rent rolls, property details, and the core facts of the opportunity.
02
Add the context that shapes conviction
It layers in the surrounding context that matters to a real first-pass decision: market and macro signals, recent transaction activity, comps, location dynamics, and other factors that help explain whether a deal fits and why.
03
Build each strategy on an editable model
Rather than generating a one-off recommendation or black-box score, DealGenie develops each strategy path from an underlying financial model that can be inspected, adjusted, and compared.
04
Keep the logic visible
Because each strategy is grounded in an editable model, users can trace how an output was formed, review the assumptions behind it, and refine the analysis before deciding what deserves more time.
“DealGenie doesn't ask teams to trust a black-box answer. It gives them a faster first pass they can inspect, adjust, and defend.”
Designed for real-world deployment.
DealGenie can sit on top of your existing process rather than forcing a full system change. Bring your own data, connect relevant market sources, and maintain control over access, assumptions, and workflows.
Works alongside your existing stack
Sits on top of your current process rather than forcing a spreadsheet, CRM, or modeling-tool switch.
Bring your own data
Custom data inputs and strategy overlays mean your proprietary comps, feeds, and context drive the output.
Strict data separation
Built for institutions: tenant isolation, permissioning, and controls for how your data is handled.
Flexible firm-specific workflows
Triggers and post-analysis actions adapt to how your team actually runs deals, not a fixed template.
Smarter first-pass review changes the way your team invests.
Not just faster review. Better decisions your team can trust, defend, and turn into sustained advantage.
Higher-quality first-pass decisions
Evaluate deal mechanics, strategy fit, and context earlier -- not just four headline metrics and a gut call.
More deals reviewed seriously
Analysts and principals spend time on judgment, not setup, so more deals get a real first look in the same window.
Fewer missed opportunities
Surface the creative strategies and carve-outs that would otherwise get triaged out before anyone looked closely.
A more differentiated investment process
A first-pass process shaped by your firm's assumptions and data -- something you can explain to LPs, not a generic screen.
Review more deals. Find stronger angles. Build a more differentiated process.
See how DealGenie turns your inbound flow into ranked opportunities, market-backed conviction, and creative strategy paths -- built around how your firm actually invests.