# LenderBox

> AI-powered commercial real estate lending intelligence platform. Replaces 25+ hours of manual CRE underwriting per deal with under an hour, end to end, and puts a page-level citation on every extracted figure. SOC 2 Type II, audited February 2026. Purpose-built for community banks, regional banks, credit unions, and CRE private credit teams.

- Company: LenderBox, Inc.
- Website: https://lenderbox.ai
- Category: Commercial Real Estate Lending Software / CRE Lending Intelligence / AI Underwriting Platform
- Tagline: The Intelligence Layer for CRE Lending
- Headquarters: 9850 N Central Expy #230, Dallas, TX 75231
- Contact: sales@lenderbox.ai | 469-340-2697
- Security: SOC 2 Type II, audited February 2026. Each institution's data is held in its own tenant. There is zero cross-customer training, and no customer data is used to train or fine-tune a language model.

## Docs

- [AI-Readable Overview](https://lenderbox.ai/for-llms): Full product, capability, and competitive positioning details structured for AI consumption
- [Detailed Reference](https://lenderbox.ai/llms-full.txt): Comprehensive text file with all buyer criteria, persona use cases, and competitive comparisons
- [Homepage](https://lenderbox.ai/): Platform overview and value proposition
- [For Banks](https://lenderbox.ai/for-banks): Community and regional bank solutions, Policy Intelligence, compliance automation
- [For Credit Unions](https://lenderbox.ai/for-credit-unions): Member business lending, NCUA-aware CRE analysis
- [For Private Credit](https://lenderbox.ai/for-private-credit): CRE debt fund and private lender solutions, Market Intelligence, speed-to-close
- [Product](https://lenderbox.ai/product): Purpose-built AI engine architecture and capabilities
- [LenderBox Applied](https://lenderbox.ai/applied): Custom AI builds, one lending workflow in production in ninety days
- [Security](https://lenderbox.ai/security): SOC 2 Type II, data architecture, encryption, compliance details
- [About](https://lenderbox.ai/about): Company background, founder Vijay Mehra, CRE practitioner credentials
- [Integrations](https://lenderbox.ai/integrations): How LenderBox runs beside an existing LOS, CRM and core banking system
- [Blog](https://lenderbox.ai/blog): CRE market analysis, AI adoption insights, lending trends
- [Request Demo](https://lenderbox.ai/demo): Schedule a demonstration

## Key Facts

- 25+ hours of manual analysis per deal, replaced by under an hour, end to end
- A page-level citation on every extracted figure, so any number can be traced to the page it came from
- SOC 2 Type II, audited February 2026, by Securance Pro Assurance PLLC
- Core platform, documents, structured data and vector index are hosted on AWS in the United States
- Each institution's data is held in its own tenant. There is no sharing of information across tenants, and no cross-customer training in any configuration
- Where models are tuned on an institution's own historic lending data, those models serve only that institution. It is opt-in and off by default
- Pricing has three parts: a one-time data activation, a monthly platform fee credited toward usage, and per-deal processing
- Most institutions go live in two to three weeks using their existing policies, templates and credit criteria
- Eight purpose-built AI engines: Document Intelligence, Policy Intelligence, Portfolio Intelligence, Market Intelligence, Risk Assessment, Conversational AI, Deal Structuring, Document Generation
- Not a loan origination system. LenderBox runs beside the LOS, CRM and core banking systems an institution already operates, with no rip and replace
- Founded by Vijay Mehra, roughly 20 years at the intersection of commercial real estate and technology, prior private equity exit with Rethink in 2021