The AI operating system for real estate lenders
- Loan underwriting from the request package: the property checked against itself and against the market.
- Test the property on the borrower’s numbers and on market numbers: LTV, DSCR, debt yield.
- Every red flag on one page. Every input sourced.
- Banks
- Debt funds
- Private lenders
- Credit analysts
- Underwriters
The loans coming due in your market, found for your desk
Signals is the Realiste AI agent that finds deals and borrowers. Tell us the market and the loan sizes you write, and we send you the list: every securitized loan maturing there, with the property address, the balance and the maturity date on each row.
- Your marketA country, a city or a district, and the property types you lend on.
- Your windowLoans maturing in the next 6, 12, 24 or 36 months.
- Your listOne row per property: address, balance and maturity date, ready for your CRM.
Name your market and window in the message box. We reply by email with the list.
Your stack, any stack. Our engine in the middle. Answers land where you work.
Everything you have now stays yours. It runs through the Realiste engine for real estate, gets enriched with our sources, and the conclusions come back to wherever you read them. Set up once, it runs on its own: no moving files by hand, no clicking around.
What you already have
- Your inbox
- Your data rooms
- Your CRM
- Your Excel models
- The territory you set
The Realiste engine for real estate
- Reads it
- Enriches it with 2,100+ connected sources, 1,912 already returning data
- Draws the conclusions
Lands where you like
- Telegram
- Your CRM or model
Your workflows, on our engine
Each one starts where your work already starts and ends where you read it. Two run for every team: the inbox and the radar. The others are yours.
A loan request lands in your inbox
Back in the same thread after our team checks it: the borrower package spread on your template, the credit memo draft and the flags with their pages. The loan amount stays with your committee.
The radar on your footprint
A weekly digest by e-mail, Telegram or WhatsApp: the borrowers who will need a lender.
More accurate, faster, lower cost per deal
More accurate
The package checked against itself and against what is on record; a gap is named with its amount and page, never filled in.
- Every input shows its source and date; every result shows its formula.
- What we could not find is named as missing, never filled in.
- The same Underwriting request on the same files returns the same figures.
Faster
A property underwriting from the loan request package in about an hour, plus a due-diligence checklist where every item points to its document and page.
| Property passport | about 4 minutes |
|---|---|
| Underwriting with its live Excel model | about 1 hour |
Lower cost per deal
- One request returns the finished package: the memo, the live Excel, and the deck on request.
- An underwriting carries about 1,000 data points, each marked as found with its source, computed by formula, or missing.
- Your analysts check and decide instead of collecting.
Questions teams ask first
- How do lenders screen commercial real estate loans for default risk faster?
- They read the borrower’s package against itself before the credit team starts: the rent roll against the T‑12, both against the offering memo’s NOI, then debt coverage and debt yield at two rates. Realiste runs that tie-out as one run and returns each difference with the page and cell behind it; on one 50-unit loan package it showed the memo’s in-place NOI 32% above the T‑12, while the rent roll and the T‑12 agreed with each other. It screens the file and does not score default or make the credit call.
- Do we have to change how we work?
- No. Your stack stays yours. What arrives in your inbox, your data rooms and the territory you set runs through our engine, and the answers land where you work: e-mail, WhatsApp, Telegram or your CRM, as Excel, PowerPoint, PDF and Word. Nothing new to log into.
- What do you bring, and what do we keep?
- 2,100+ connected sources (parcels and owners of record, recorded sales and loans, permits, zoning and rents) and a property base of about 6 million properties. Your files serve your work, are never shown to another client and are not used to train models. An NDA comes before any access.
- Does Realiste make the credit decision?
- No. Realiste gives no credit opinion and no appraisal of its own, and the memo states no loan amount. The coverage and debt yield math sits in the workbook; the decision to lend stays with your committee.
- How long until it runs on our own work?
- 72 hours from access, after the NDA. Day 1 we map the process with you, day 2 we build it into your setup and run one live case, day 3 your team runs it and we measure it together.
- Can we try it first?
- Yes: up to 2 weeks of work by email on your own deals, no login. Access for your team opens with a pilot, from one page of terms agreed before anything opens: the processes it covers, the numbers that count as success, the people on both sides, 14 days at most and the date you decide. How you start with Realiste