AI-Powered CRE Underwriting
LenderBox compresses the entire commercial real estate underwriting workflow into a single intelligent process. Upload your documents, and our purpose-built AI engines extract, analyze, verify, and structure everything into committee-ready deliverables.
SOC 2 Type II, Audited February 2026
GLBA-Informed
256-bit AES Encryption
Zero Data Sharing
The Problem
Most commercial real estate lending teams spend the majority of their underwriting time on data-intensive preparation work, not on the judgment calls that actually matter. Analysts manually spread financials from PDFs, re-key data across spreadsheets, cross-reference policy books by memory, and compile deliverables in formats that vary from deal to deal. The result is a process that takes 25+ hours per deal, introduces errors at every handoff, and scales only by adding headcount.
Analysts spend 60-70% of their time extracting and re-keying data from rent rolls, T-12s, appraisals, and borrower financials into spreadsheets.
Credit memos vary by analyst. Without standardized extraction, the same deal produces different numbers depending on who underwrites it.
Compliance verification happens manually, if it happens at all. LTV thresholds, DSCR minimums, and concentration limits get missed under volume pressure.
Every new deal requires the same manual effort. Growing loan volume means hiring more analysts, not working smarter with the team you have.
SOC 2 Type II, Audited February 2026
GLBA-Informed
256-bit AES Encryption
Zero Data Sharing
LenderBox is a CRE underwriting platform purpose-built for the security posture your examiners, risk committee, and institutional LPs expect. Your documents stay in your isolated tenant, are never used to train shared models or commingled across customers, and every decision produces an immutable audit trail.
A boilerplate SOC 2 report tells your risk committee almost nothing about how customer data flows through an AI pipeline. Examiners and vendor-risk teams keep asking follow-ups your vendor can't answer.
Most horizontal AI tools run every customer through the same shared index, the same shared embeddings, and the same shared infrastructure. For confidential loan packages, borrower PII, and non-public financials, that shared surface area is a non-starter.
When an AI tool can't explain where a number came from or log who approved what, deals stall. Your committee wants provenance, not a black box.
FFIEC guidance, GLBA Safeguards, and state-level data laws are raising the bar every year. Your vendor stack is now an examiner agenda item, not an IT decision.
Your loan files live in an isolated tenant with no commingling across customers. No shared embeddings, no cross-account indexing, no data pooling.
Every document is encrypted at rest with 256-bit AES and in transit with TLS 1.3. Keys are rotated on a fixed schedule and managed through a dedicated KMS.
Every extraction, policy check, and credit decision writes to an immutable log your examiners can trace end to end. Who did what, when, and against which version of policy.
Independently audited against the five trust service criteria. Report available under NDA for your vendor risk assessment and examiner review.
Audited February 2026Built with the Gramm-Leach-Bliley Safeguards Rule principles in mind for non-public personal information. Access controls, encryption, incident response, and vendor oversight designed around the posture examiners expect to see.
GLBA-InformedEvery customer runs in an isolated tenant with strict isolation boundaries. No shared indexing, no shared embeddings, no cross-customer data pooling. Your documents, your extractions, your memos stay in your environment.
No ComminglingSAML SSO, MFA, role-based access, and least-privilege policies by default. Every session, API call, and admin action is logged to your immutable audit trail.
SSO + MFA + RBACLenderBox runs on US-based cloud infrastructure with primary and failover regions both in the United States. Suitable for community bank, regional bank, and US-based private credit environments.
US-BasedEvery value the platform generates is traceable back to a source document and page. If we can't cite it, we won't output it. No untraceable numbers in your credit memo.
Citable by Default| Requirement | Typical Cloud AI | LenderBox |
|---|---|---|
| Cross-Customer Data Exposure | Varies; shared indexing and shared embeddings common | ✓ None; isolated tenant, no commingling |
| Use of Customer Data for Model Training | Often permitted by default in terms of service | ✓ Never; contractually excluded |
| Infrastructure Region | Global, variable by provider | ✓ US-based |
| Tenant Isolation | Shared indexing and embeddings | ✓ Isolated, no commingling |
| Audit Trail | Basic access logs | ✓ Immutable, examiner-ready |
| Attestations | General-purpose SOC 2 | ✓ SOC 2 Type II, GLBA-informed |
| Output Provenance | Model outputs only | ✓ Source-citable on every value |
| Regulatory Fit | Built for general enterprise | ✓ Built for CRE lending |
You need a vendor your examiner, risk committee, and IT team all sign off on without a three-month fight.
You need data sovereignty your LPs and insurers can verify, without slowing down speed-to-close.
We'll walk your vendor risk, IT, and compliance reviewers through LenderBox security architecture in a single call. SOC 2 Type II report and architecture diagrams available under NDA.
Schedule a Security Review CallSOC 2 Type II, audited February 2026. GLBA-informed. Typical pilot go-live in three to four weeks.