LenderBox

Document-to-metric CRE loan-book corpus with a paired natural-language query layer: covenant terms, LTV, DSCR, debt yield, maturity, concentration and risk tier automatically parsed from underlying loan documents and servicing data, each metric carrying a traceable citation back to its source document; plus logged plain-English-to-portfolio-query pairs (e.g. a filter request over property type, maturity year and DSCR threshold, or exposure by metropolitan area) with their verified answers and full deal context, and credit-policy concentration limits expressed as machine-enforceable rules

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Sample

Brickroad customers

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Coverage

Universe, instruments and categories.

Industry: Financial Exchanges & DataCommercial Banks
Instruments: loansfixed_incomestructured_products

Dataset card

Type: not stated
Format: Multimodal: parsed structured loan and covenant fields with document citations, natural-language question/answer logs, and concentration-rule definitions; ingested from origination and servicing systems (nCino, Salesforce, Baker Hill) or as-is spreadsheets
Volume: Whole-borrower-book scale rather than vendor-catalogue scale: each deployment unifies an institution's entire CRE loan book, so corpus volume is the aggregate of client books — est. tens of thousands to hundreds of thousands of loan records across clients, each with parsed covenant and metric fields plus supporting documents. Query logs accrue continuously per deployment.
Users: ~20-150 institutional seats (inferred from a 5-person company on pay-as-you-go pricing serving community and regional banks plus private credit teams; each client is a whole loan book, not a seat count)
History: 2 years
Update frequency: not stated
Growth: Active (live go-to-market with published pay-as-you-go pricing and activation-fee terms, SOC 2 Type II attestation recently earned, and 3-4 week onboarding messaging aimed at winning first deployments; 5-person founding team still hiring-shaped)
Launched: not stated
Delivery: not stated
Entity mapping: not stated
Sample: not stated
Point-in-time: not stated
Licence: not stated

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