AI Deal Desk for CRE LendersUnderwrite with confidence.
Ledgerline turns messy CRE loan files into structured credit records, source-cited risk flags, and IC-ready memos — so lenders underwrite in hours, not days.
Frontier document AI
Configured for CRE lending — rent rolls, T-12s, appraisals, OM extraction with page-level citations
Institutional data
Property & borrower intelligence
Explainable insights
Transparent drivers & audit trails
Built for scale
From first deal to enterprise
How it works
From a raw loan file to structured credit intelligence.
Ledgerline doesn't just generate a memo — it builds a structured deal record that can be searched, reviewed, updated, and reused.
01
Upload the loan package
Drop in OMs, rent rolls, T-12s, leases, appraisals, and borrower files — in any format.
Phase 1 scope: property financial underwriting. Legal/structural documents (title, Phase I ESA, loan agreements) — Phase 2 roadmap.
02
Extract & normalize
Documents are classified and every metric extracted — DSCR, debt yield, LTV, NOI — each traced to its page.
03
Memo, flags & record
A source-cited IC memo, red-flag alerts, and a reusable credit record — ready for review in minutes.
Product
IC-ready underwriting in one workspace.
The results
Underwrite in hours, not days.
24h
Turnaround, guaranteed
Every metric
source-cited
source-cited
Traced back to the document, page-level
3h→15m
First-pass summary time (internal testing)
20+
Files in internal testing
Pricing
Start per-file. Scale with volume.
Always priced and delivered per file — volume tiers are committed file-volume contracts, not software seats.
Pilot
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per reviewed loan package
Prove ROI on the first files. No procurement marathon, no integration lift.
Start a pilotPopular
Volume contract
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monthly committed file volume
Committed monthly file volume, delivered and QA'd as a service. No software seats, no implementation.
Book a demoEnterprise
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committed annual file volume
Firm-wide service contract for high-volume lenders — every file delivered, QA'd, and archived. Custom scope and SLA.
Talk to salesTeam
Built by the people who sat in the seat.
We underwrote these exact files. We speak the jargon — DSCR, rollover, covenants — with no translation layer.
Mathis Hanania
Co-founder & CEO
CRE credit & acquisitions at Madison Capital; AI financial workflows at Claira.io.
Madison CapitalNYU
Julien Bergametti
Co-founder
Real estate & market analytics; structures messy inputs into defensible intelligence.
Société GénéraleUCLA
Adrien Concordel
Co-founder & CTO
Enterprise AI systems at Palantir; builds production pipelines for complex document reasoning.
PalantirPolytechniqueMIT