Like having a senior acquisitions partner reviewing every deal.
Institutional-grade AI analysis on every commercial real estate deal you underwrite. Multifamily. Industrial NNN. IOS. Whatever the asset — get the underwriter perspective that finds what spreadsheets miss.
Sample shown below is real AI output from a sample deal in UpsideIQ — not marketing copy.
Live AI analysis on an illustrative sample deal.
Example output on Cedar Point Logistics Center — Greenville, SC ($7,888,000). Your analysis will cite specific numbers from your own deal data.
Below 1.0× the property can't cover its debt; lenders typically want 1.25×+.
Running LP position: capital out in Y0 (red), distributions step up (green), exit returns capital (grey) + profit (gold). Break-even where the curve crosses zero.
AI Deal Analysis
- The 10-year NNN lease with 3.0% annual escalators provides full-term income visibility through the hold period and well beyond. NOI grows from $591,613 in Y1 to $666,535 by Y5, a ~12.7% increase that compounds into the exit valuation without requiring any re-leasing event during the 5-year hold.
- DSCR of 1.45x on a fully amortizing P&I basis at 6.00% is a meaningful buffer. No I/O period means the loan is deleveraging from day one, reducing lender risk and providing modest equity build through amortization over the 5-year hold.
- At $83.03/SF, the entry basis is low relative to typical replacement cost for functional industrial product. This provides a margin of safety on the asset side independent of lease performance, though replacement cost data for this specific Greenville submarket is not provided in the deal data.
- Total Y1 operating expenses of $25,888 on a 95,000 SF NNN asset are minimal, consistent with a true triple-net structure where the tenant bears taxes, insurance, and maintenance. Landlord expense leakage is negligible.
- Greenville-Spartanburg is an established Southeast industrial corridor with BMW manufacturing and significant logistics infrastructure. However, specific submarket vacancy, absorption, and rent growth data are not provided in the deal data — this is a qualitative observation, not a data-supported claim.
- The exit cap rate of 7.50% equals the entry cap rate of 7.50% — zero cap rate expansion assumed over a 5-year hold. The system has flagged this as an AMBER anomaly; institutional convention typically underwrites exit at entry + 25 to 100 bps. At a 8.00% exit cap, the projected exit valuation of $8,887,139 would compress materially, directly eroding LP IRR and equity multiple. This is the single largest modeling risk in the deal.
- 100% of the rent roll is Meridian Freight & Logistics Co. No credit profile, financials, DUNS rating, or parent guarantee information is provided in the deal data. If this tenant defaults or vacates at lease expiration, the asset goes dark. Re-leasing risk at year 10 (beyond the hold) is real, but even a mid-term credit event would be catastrophic to cash flow.
- Meridian Freight & Logistics Co. does not appear to be a publicly rated or nationally recognized credit. No financials, revenue figures, guaranty structure, or parent entity information is provided in the deal data. For a single-tenant NNN deal, tenant credit is the underwriting. This is a material data gap.
- LP IRR of 13.59% and equity multiple of 1.77x over 5 years are acceptable but not exceptional for a deal carrying full single-tenant concentration risk with an unrated tenant. The return profile assumes the flat exit cap holds — any cap expansion or lease disruption compresses returns toward or below a risk-adjusted hurdle.
- The lease rate of $6.50/SF/yr NNN is the only rent data point provided. No market rent comparables, submarket asking rents, or broker opinion of value for the space are included in the deal data. It is unknown whether this rent is at-market, below-market, or above-market — a critical input for assessing renewal probability and re-leasing risk.
Base case uses the engine outputs as provided: Y1 NOI of $591,613 growing at 3.0% annually via contractual escalators to $666,535 by Y5, with a 7.50% exit cap producing a projected exit valuation of $8,887,139. DSCR holds at 1.45x on P&I throughout the hold given the fixed-rate structure. LP IRR of 13.59% and equity multiple of 1.77x are achievable if the tenant performs and the exit cap assumption holds. The base case is essentially a bond-like hold with the primary return driver being contractual rent growth and amortization paydown, not cap rate compression.
Stress overlay: apply a 25 bps exit cap expansion to 7.75% (the low end of institutional convention) and a 10% rent haircut to model a lease renegotiation or partial abatement scenario. At 7.75% exit cap, the exit valuation on stressed Y5 NOI (~$599,882) would fall to approximately $7,740,000 — below the purchase price of $7,888,000 — producing a near-breakeven or negative equity event for LP depending on disposition costs. This is not an extreme stress; it is a modest one. A 50 bps exit cap expansion to 8.00% would be more severe. The deal's return profile is highly sensitive to exit cap assumption, and the flat 7.50% entry-to-exit underwrite leaves no margin for cap rate normalization.
- What is Meridian Freight & Logistics Co.'s credit profile — can you provide the last two years of audited financials, any parent entity or guarantor structure, and whether there is a corporate or personal guarantee on the lease?
- What is the basis for the 7.50% exit cap assumption? What have comparable single-tenant industrial NNN assets traded at in the Greenville market in the last 12-18 months, and what is the broker's opinion on cap rate direction in this submarket?
- Is the $6.50/SF/yr NNN rent at-market, below-market, or above-market relative to current submarket asking rents for comparable industrial product? What is the broker's estimate of market rent today and at lease expiration?
- What are the specific CAM and NNN lease provisions — who is responsible for roof, structure, and HVAC capital expenditures, and are there any landlord carve-outs or caps on tenant NNN obligations?
- What is the building's clear height, dock door count, truck court depth, and year built — and has a Phase I ESA and property condition report been completed? Any deferred capex identified?
This is a straightforward single-tenant NNN industrial hold with a long WALT, contractual 3.0% escalators, and a 1.45x DSCR that provides adequate debt service coverage at a $83.03/SF basis. The structural concern is the flat 7.50% exit cap assumption — a 25 bps expansion to 7.75% at exit would push the projected sale price below purchase price, making the deal's return profile entirely dependent on an assumption that contradicts institutional underwriting convention. More fundamentally, Meridian Freight & Logistics Co.'s credit quality is entirely unknown from the deal data provided, and for a 100% single-tenant NNN asset, that is not a secondary diligence item — it is the underwriting. Before advancing, tenant financials and a defensible exit cap analysis are required.
Illustrative sample — actual UpsideIQ AI output on Cedar Point Logistics Center, Greenville, SC ($7,888,000). Your analysis will cite specific numbers from YOUR deal data — not generic templates.
Not a number-cruncher. A second opinion that listens.
Most tools just crunch the spreadsheet. Tell ours what the numbers can't see — and watch the recommendation move with your context.
Sub-1.0× DSCR (0.95×) at this basis. Structural pass — walk unless the broker materially reprices.
At ~$4.3M the deal pencils. Submit at $4.2M with a 30-day close.
Same engine. Same numbers. Your context.
From deal entry to AI critique in under a minute.
Underwrite your deal in UpsideIQ
Enter deal details or upload an OM. The engine runs a full 10-year DCF, computes IRR / EM / DSCR, and surfaces rules-based health flags.
Click Generate AI Analysis
One click on the preview page sends your deal data + engine outputs to Claude with strict anti-hallucination guardrails.
Get institutional critique in ~30s
Structured output: key facts, what to like, what to worry about, base + stress case, 6-dimension scoring, and broker questions to ask.
Built like an analyst, not a chatbot.
Cites specific numbers from YOUR deal
Every claim references actual values from your inputs and engine outputs. "DSCR at 0.95x" — not "DSCR looks weak."
Identifies structural risks
Negative leverage. DSCR shortfalls. Cap rate expansion that destroys equity. Refi proceeds that go negative. The things that fail deals at IC.
Specific broker questions, not generic checklists
Each analysis ends with 3-5 questions to ask the broker — tied to actual data gaps and assumption stress points on YOUR deal.
Scored across 6 dimensions
Basis, Building, Market, Tenant / Demand, Lease / Rent Structure, Upside — each 0-10. Aggregate overall score 0-10.
Anti-hallucination guardrails
Strict system prompt: only state facts present in deal data. Banned phrases scanned post-generation. Confidence rating self-assessed.
Cached intelligently
Re-views of unchanged deals reuse the cached analysis — no waste on cosmetic edits. Regeneration only on material input change.
Built on a verified underwriting engine.
AI analyzes the engine output. The engine itself is the load-bearing math — verified across 30+ test scenarios with hard invariants and bit-identical canary baselines.
MF + Industrial scenarios run on every engine-touching commit. Hard invariants on valuations, DSCR, IRR finite-ness.
Engine validated line-by-line against canonical Excel underwriting models. Documented divergences in append-only ledger.
Anti-hallucination system prompt + post-generation phrase scanning. AI references only data we provide.
Included on every Pro plan.
No add-ons. No metered API fees. Unlimited deal analyses within your daily generation cap.
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Frequently asked questions
Is my deal data sent to external AI?
Yes — analysis uses Anthropic's Claude API. Your deal data is processed under Anthropic's enterprise data handling policies. Cached results stay in UpsideIQ; only fresh generations send new data. A one-time privacy disclosure modal appears on your first generation.
Can I disable AI analysis?
Yes — AI generation is opt-in per deal. You manually click "Generate AI Deal Analysis" on the preview page when you want it. Nothing runs in the background. PDF reports include AI analysis only if you toggle it on (default OFF).
How much does it cost?
Included on Pro plans at no additional charge, up to 10 generations per user per day. Typical analyst usage is 1-2 fresh analyses per day; cached re-views of unchanged deals are free.
What if the AI makes a mistake?
AI analysis is supplementary — always verify claims independently. UpsideIQ includes anti-hallucination guardrails (system prompt forbids inventing facts, post-generation phrase scanning, self-assessed confidence rating) but AI output is not investment advice.
How is this different from asking ChatGPT?
AI analysis runs against the engine's structured deal data: NOI, DSCR, IRR, EM, projected exit, refi math, anomaly flags, peer benchmarks. ChatGPT has no context for any of that. Here, the AI cites specific numbers from your deal — and the anti-hallucination rules prevent it from inventing things.
Which Claude model powers this?
Claude Sonnet 4.6 — Anthropic's balanced quality / cost model. The system is designed to swap to a newer model when available without breaking the institutional voice or anti-hallucination guardrails.
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