Complex Financial Modeling
Accurately projecting future income, expenses, and market changes requires dealing with complex variables like rent growth, vacancy rates, and loan terms.
Cygni empowers real estate professionals to make smarter decisions, reduce manual errors, and close deals faster – all with AI-driven precision.
1420 Kendall Ave, Austin TX
272 units, built 2019. Zoning, tax and submarket rents pulled.
T12_Statement.pdf RentRoll_Mar2026.xlsx
All 272 units read — and the totals match the sheet.
Which scenario makes this a good deal?
Value-add clears your 15% hurdle.
| Scenario | IRR | Equity mult. |
|---|---|---|
| Base | 14.2% | 1.8x |
| Value-addclears hurdle | 18.6% | 2.2x |
| Downside | 9.1% | 1.4x |
Underwriting commercial real estate deals involves complex analysis, detailed financial projections, and an understanding of numerous variables. Factors like market conditions, loan structures, property types, expenses, income streams, and legal documents all play a role in determining the profitability and viability of a deal.
Accurately projecting future income, expenses, and market changes requires dealing with complex variables like rent growth, vacancy rates, and loan terms.
Real estate underwriting must account for inflation, interest rate fluctuations, supply chain disruptions, and shifts in demand (e.g., remote work trends). Failing to incorporate these can erode profitability.
Reviewing lease terms, tenant creditworthiness, and potential exposure to defaults or renegotiations is a constant hurdle. Small oversights in lease structures, like hidden concessions or break clauses, can significantly impact cash flow stability.
Cygni is designed to address these challenges by automating and simplifying the underwriting process. It leverages advanced AI to consolidate financial data, analyze complex scenarios, and provide actionable insights. With Cygni, you can save time, reduce errors, and make confident, data-driven investment decisions.
Auto populate property and market data. Analyzes zoning and tax info. Predicts value and risks.
Extracts key financial data from the relevant documents. Summarizes for quick review. Flags inconsistencies.
Offers prebuilt models based on different scenarios. Simulates market impacts. Visualizes comparisons.
Our advanced tools streamline the underwriting process by consolidating financial data, analyzing market trends, and providing actionable insights. Make informed decisions faster and mitigate risks with unparalleled accuracy.
Easily model various financial scenarios, adjust assumptions, and forecast outcomes with Cygni's robust Scenario Builder. This feature helps underwriters evaluate complex situations like refinancing, loan assumptions, and market fluctuations.
Cygni uses advanced algorithms to analyze and synthesize data, reducing manual errors and saving valuable time.
The platform supports a wide range of commercial property types, from office buildings to industrial complexes, multi-family units, retail spaces, and more.
Cygni's AI-powered document analysis tool extracts key financial data from PNLs, rent rolls, and seller disclosures, saving time and ensuring accuracy.
Quickly generate a comprehensive underwriting summary that outlines all key metrics, assumptions, and financial projections.
Share underwriting summaries and analyses with your team, investors, equity partners, lenders, and other stakeholders, making collaboration seamless and efficient.
Underwriting is a different job depending on which seat you are in. These are the questions the platform is built to answer, and they are claims about the product you can test on a free trial rather than opinions we have collected.
Can I show my investors where this number came from?
Every figure in the summary resolves to the page or the spreadsheet cell it was read from, and the waterfall runs on the terms in your operating agreement rather than an annual approximation of them.
How fast can I get a credible summary to a client?
Upload the rent roll and the T-12 and the extraction comes back cited. What you send is defensible line by line, which matters more than what it took to produce.
Does this projection hold up under my covenants?
DSCR and debt yield are reported per year against each debt era, so a covenant that breaks in year three is visible before the loan closes.
What happens to the return if one assumption moves?
Change one assumption and the cash flow, the loan schedule and the distributions are all worked out again — so the difference between two cases is only the thing you changed.
Cygni offers advanced underwriting and portfolio analysis tools at a fraction of the cost of competitors. While others charge over $1,000/month plus additional fees for add-ons, Cygni provides an all-inclusive solution with no hidden costs.
| Analyst For solo underwriters running a handful of deals a month. | Deal Team Most popular For small teams managing a growing pipeline and investor base. | Institutional Full-scale sourcing, underwriting, and investor management. | |
|---|---|---|---|
| $299 / month Billed monthly | $449 / month Billed monthly | Custom Priced on your volume | |
| Start free trial | Start free trial | Contact sales | |
| Underwriting | |||
| Underwritings per month | 5 | 20 | Unlimited |
| Run underwriting without uploading any documents | Included | Included | Included |
| Documents | |||
| Document uploads | 10 | 50 / month | Unlimited |
| Supports rent rolls, P&Ls, income statements, lease agreements & more | Included | Included | Included |
| Upload from your local device or Google Drive | Included | Included | Included |
| Investors & reporting | |||
| Investors managed | Not included | 10 | Unlimited |
| Generate and email offering memorandums (OMs) | Not included | Not included | Included |
| Source deals | Not included | Not included | Included |
| Integrate with local rent data | Not included | Not included | Included |
| Support | |||
| Support SLA | 96h | 72h | 48h |
| Start free trial | Start free trial | Contact sales | |
What CRE underwriting involves, how Cygni does it, and what it costs.
Commercial real estate underwriting — CRE underwriting — is the analysis that decides whether a deal is worth doing. You establish what a property actually earns and spends today, project that across your hold period, layer on the debt, and see what the returns look like for each party. In practice it means turning a rent roll, a T-12 and an offering memorandum into a cash-flow projection you can defend to a lender or an investor.
Start from what the documents state rather than what the pro forma projects: in-place rents from the rent roll, actual operating expenses from the T-12, and the unit mix as it stands today. Project those forward on assumptions you can name — rent growth, vacancy, expense inflation, exit cap — and judge the deal on cash-on-cash, IRR, equity multiple and DSCR together. No single metric survives a rate move on its own.
Rent rolls, T-12s and operating statements, P&Ls, offering memorandums and seller disclosures, as PDF, image, XLS or XLSX. Spreadsheets are parsed from the actual grid rather than read off a picture of one, so a 272-unit rent roll comes back as 272 rows — each carrying the sheet and cell its figure was read from, and checked against the totals the document itself prints.
Every number carries its source. A figure taken from a document shows the page — or the sheet and cell — it came from, and you confirm each extraction before anything is built on it. And the AI does the reading, not the maths — it pulls the figures out of your documents and suggests assumptions, but your IRR and your waterfall are calculated, the way a spreadsheet calculates.
It does the reading. Upload the documents and Cygni classifies them, finds the figures and extracts them with a citation attached — the part of underwriting that costs hours and where transcription errors creep in. You confirm what it found, pick the source when two documents disagree about the same number, and the projection is compiled from there.
By making the assumptions visible and testable. Every assumption behind the projection — rent growth, vacancy, expense inflation, exit cap, loan terms — is one you set and can change, and the cash flow is worked out again each time, so you can put a refinance, a slower lease-up and a softer exit side by side instead of arguing about a single number.
Both. A solo investor underwriting a couple of deals a month and a team running a pipeline use the same platform; the plans differ in how many underwritings, documents and investor seats they include. Pricing starts at $299 a month, and every plan includes a 7-day free trial.
Yes — there is a 7-day free trial, and it runs the whole workflow rather than a demo of it. Upload a real deal's documents, confirm the extractions, and take it through to a cash-flow projection and a waterfall distribution, so you are judging the output on a property you already know.
Cygni provides the tools you need to streamline your commercial underwriting, enhance your decision-making, and collaborate more efficiently.