Frequently Asked Questions

LenderBox uses eight purpose-built AI engines that automate document extraction, policy checking, risk scoring, portfolio analytics, market intelligence, and memo generation.

No. LenderBox augments your team by eliminating manual data work. Your underwriters still make the credit decisions; they just get there faster, with better data in front of them.

Page-level citation on every extracted figure, across appraisals, rent rolls, operating statements and the other CRE document types the platform reads. Any figure can be traced back to the page it came from.

Yes. Multifamily, office, retail, industrial, hospitality, mixed-use, and more. The platform handles property-specific document structures and data patterns.

That is exactly what LenderBox is built for. The platform processes inconsistent PDF formats, variable data quality, and lender-specific document structures.

Yes. It identifies misaligned assumptions, flags unsupported adjustments, and cross-references market data to validate appraisal conclusions.

Most teams achieve turnarounds of under an hour on deal packages. Upload the documents, and the platform extracts the data, layers in market intelligence, scores risk, and generates a committee-ready memo.

LenderBox Market Intelligence aggregates AI-powered market research: cap rates, pricing trends, risk indicators, and comparable transactions across markets and property types.

Most institutions go live in three to four weeks. LenderBox fits into your existing workflow, with no infrastructure overhaul required.

Yes. LenderBox sits beside the loan origination system your institution already runs, including nCino and Salesforce, so there is no rip and replace. It is an intelligence layer that sits alongside your existing tools rather than replacing them.

No. LenderBox is a lending intelligence platform that sits alongside your LOS and CRM. It enhances your workflow rather than replacing it.

Typically one project lead and one or two power users. LenderBox handles configuration and training, and no dedicated IT resources are required for setup.

Building internal extraction and market data infrastructure requires 6 to 12 months of engineering. LenderBox is live in three to four weeks, with continuous model and data updates after that.

AWS data centers in the United States, covered by AWS's own SOC 2 Type II reports, with biometric access, 24/7 surveillance, and environmental protections. No offshore storage.

No. Zero-access-by-default model. Production data is not accessible to employees during normal operations. Any access requires authorization, is logged, and is scope-limited.

Architectural isolation. Each institution's data is held in a tenant-scoped store, filtered by organization ID at the database layer. There is no shared data pool, and AI models do not cross-train on other clients' data.

LenderBox provides SOC 2 Type II reports, GLBA-informed control documentation, data flow diagrams, and incident response procedures. Multiple banks have completed assessments successfully.

GLBA-informed, aligned with OCC Third-Party Risk Management guidance (Bulletin 2023-17), and designed to meet the standards evaluated by federal and state examiners.

A documented incident response plan with defined escalation procedures and notification timelines, per applicable law and service agreement terms.

Pricing has three parts: one-time data activation, a monthly platform fee credited toward usage, and a flat per-deal rate. The pricing page explains how each part is scoped.

No. At day 90 of the activation program you receive a readiness package, and you decide whether to proceed with full implementation.

Yes. LenderBox is designed for local banks, regional institutions, super-regionals, and global lending platforms. The platform scales with your portfolio and your team.