AI credit analyst for private CRE lenders
Augment your underwriting capacity.
Ledgerline extracts the numbers from the loan package and produces an editable credit memo. Every extracted input links to its source, and every calculation shows its formula and assumptions.
Built by operators from
How it works
From a raw loan file to structured credit intelligence.
The automated first pass takes about 15 minutes. During the pilot, the analyst-reviewed package is delivered within three hours.
01
Extract and reconcile
Ledgerline classifies OMs, rent rolls, T-12s, appraisals, leases and borrower files, then reconciles conflicting financial inputs.
02
Compute deterministically
DSCR, debt yield, LTV, NOI and other credit metrics are calculated in code rather than generated by an LLM.
03
Review and deliver
Source-cited risk flags, policy exceptions and an editable credit memo. During the pilot, a credit analyst reviews the package before delivery.
Every extracted input links to its original document and page. Every computed metric exposes its formula, assumptions and source inputs.
The results
Underwrite in hours, not days.
3h
Analyst-reviewed pilot package delivered
15 min
Automated first-pass analysis (internal testing)
Every input
source-linked
source-linked
Computed metrics expose formula and assumptions
Pricing
Pay for completed underwriting. Not software seats.
Pricing is tied to completed underwriting packages and reserved capacity, not software access.
Pilot
First underwriting package free
then $500–$2,500 per completed underwriting package, based on complexity and turnaround
Pay only for completed underwriting work. No seat fees or upfront implementation fee for the pilot.
Start a pilotAnnual capacity
Custom annual commitment
reserved underwriting capacity for recurring teams
- ✓Preferred per-output pricing
- ✓Reserved underwriting capacity
- ✓Shared deal pipeline
- ✓Searchable institutional credit history
- ✓Team collaboration
- ✓Integrations and priority support
Typical annual engagements start around $25,000.
Enterprise
Custom deployment
for institutions processing high underwriting volume
- ✓Dedicated deployment
- ✓Private cloud / VPC
- ✓Access controls & permissions
- ✓Audit-ready citations & logs
- ✓Custom integrations
- ✓Dedicated support
Try Ledgerline on one real loan · pay per completed package · reserve annual capacity · deploy across your credit organization.
Team
Built by the people who sat in the seat.
We combine deep CRE expertise with world-class technical execution.
Mathis Hanania
Co-founder & CEO
Former CRE acquisitions analyst at Madison Capital; built AI underwriting workflows and Claira’s CRE vertical. Leads customer development and translates lender requirements into product features.
Madison CapitalNYU Schack
Julien Bergametti
Co-founder & COO
Former Société Générale structured finance associate across a $5B+ U.S. CRE loan book. Owns Ledgerline’s credit methodology, underwriting workflows and lender implementation.
Société GénéraleUCLA