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AI underwriting

AI underwriting software that shows its work

AI underwriting software reads a deal's documents, extracts the financials, runs the analysis an underwriter would (cash flow or unit economics, valuation, structure, returns, risks) and drafts the deliverables, such as an investment memo, term sheet and model. The best tools trace every number to its source document and flag what they had to assume, so a human can verify the work.

What AI underwriting does

Underwriting is the work of deciding whether an investment, acquisition, placement or loan makes sense and on what terms. Traditionally an analyst reads the deck and data room, spreads the financials, builds a model, stress tests it and writes a memo for a credit or investment committee. That takes days per deal. AI underwriting compresses the reading, spreading, modeling and drafting into minutes, so people spend their time on judgment: which risks matter, what to negotiate and whether to proceed.

What to look for in AI underwriting software

Four things separate a useful tool from a chatbot. Source tracing: every figure should cite the page it came from, and anything it could not find should be marked as an assumption, not invented. Discipline: it should say no when a deal does not work and attach conditions to a yes. Real deliverables: an investment memo, term sheet and a working Excel model, not a summary paragraph. Breadth: the playbook should change with the asset, because a Series A, a laundromat, a music catalog and a loan pool are underwritten differently.

How Underridge works

Drop in whatever you have: a deck, a zipped data room, a model or a forwarded email. In about a minute Underridge returns a verdict of proceed, proceed with conditions, or pass, with its reasons. The full package follows: a deal one-pager, term sheet, investment memo, IC decision pack, deal timeline, sensitivity tables and a live Excel model. Every headline figure cites the page it came from or the formula behind it, and anything it could not source is labeled as an assumption. It covers 145 asset classes, and teams share one workspace, with a REST API, an MCP server for AI agents and an inbox sweep for deal email.

Who uses it

Anyone who underwrites. Private equity from the lower middle market to large cap, search funds and independent sponsors evaluating acquisitions; venture capital firms and angels pricing rounds; family offices on direct deals and co-investments; investors structuring bespoke private placements, notes, royalties and insurance-linked deals; banks, private credit funds, SBA and fintech lenders sizing loans; real estate investors and lenders; corporate development teams screening targets; brokers, M&A advisors and boutique and bulge bracket bankers preparing a client's deal for market; investment committees that want an independent second read. It is decision support: outputs are a starting point for professional judgment, not a substitute for it.

What you can do with it

Investment Memo GeneratorDeal ScreeningDue Diligence AssistantTerm Sheet GeneratorUnderwriting Model BuilderCredit Memo GeneratorFor Private Equity and Search FundsFor Venture Capital and AngelsFor Family OfficesFor Private Placements and Structured DealsFor Corporate DevelopmentFor Lenders and Credit FundsFor Commercial Real EstateFor Brokers and Advisors

Frequently asked questions

Can AI replace an underwriter?

No. AI can do most of the reading, spreading, modeling and first-draft writing, which is where most of the hours go, but a person still owns the decision, the negotiation and accountability for the call. The right tool makes that person faster and more consistent, and makes its own work easy to check.

Is AI underwriting accurate?

It is as accurate as its sources and its discipline. Look for tools that cite the document and page behind each figure and that leave a number blank or label it as an assumption when the evidence is missing. Treat sponsor projections as claims to test, whether a human or an AI reads them.

What documents do I need?

Whatever you have: a pitch deck, offering memorandum, financial statements, tax returns, rent roll, T-12, a model or a zipped data room. More evidence produces more document-grounded figures; with only a teaser, the output will show which inputs are assumptions.

How much does AI underwriting cost?

Underridge is priced per underwrite with credit packs, starting at $49 for five, with volume pricing for teams. New accounts get ten free underwrites.

Underwrite your next deal in minutes

Drop a deck or data room. Underridge returns a verdict, investment memo, term sheet and a live model, with every headline figure traced to a page, a formula or a labeled assumption. Ten underwrites free.

Try Underridge free