Document Intelligence
Every file OCR’d, classified against an underwriting taxonomy, and indexed down to the individual spreadsheet cell, so every figure keeps a path back to exactly where it came from.
Institutional AI for commercial credit
Connected intelligence across the credit lifecycle, from analysis to portfolio oversight.
Across underwriting, risk monitoring, and portfolio management, teams spend valuable time gathering information instead of generating insight.
Credit data lives in spreadsheets, PDFs, internal models, and legacy systems that don't connect.
Underwriting, spreading, and memos still rely on manual work, creating delays and inconsistency.
Risk signals surface only at reporting cycles, leaving teams reactive, not informed.
CreditQuant runs every document and data feed through ORA, turning scattered information into funding-ready output your credit committee can act on with confidence.
Every file OCR’d, classified against an underwriting taxonomy, and indexed down to the individual spreadsheet cell, so every figure keeps a path back to exactly where it came from.
Your diligence checklist, answered from the borrower’s own documents with a citation on every response, and honest about what is still awaiting sources.
Standardized onto a consistent chart of accounts, or onto your own spread template. Nothing finalizes until a person has verified every AI-filled figure.
Set the whole package, financial, negative, affirmative and reporting, then test it against the verified spread on the engine that computes the statements.
A committee-ready draft grounded in the verified spread, with a proposed risk rating your analyst can override, section-level editing, and an unchangeable record of every revision.
Ask a question in plain English. It reads the documents, runs the analysis on your workbook data, and cites every figure it hands back.
The book at a glance: committed capital by phase, concentration, breaches, and which deals are waiting on someone, so your team clears the queue and books more capital.
Every figure in CreditQuant links directly to its source document, down to the page and passage level. Teams can instantly verify outputs and operate with full confidence.
Built for the most demanding enterprises
We never use your documents, prompts, or outputs to train any model.
Each workspace is fully separated, with enforced cross-client boundaries.
Built on SOC 2 policies and controls, with formal Type II certification planned.
Strong encryption in transit and at rest across every layer.
AI-native credit, in one intelligence layer
Every deal, document, and analysis connects through ORA into one continuous source of truth, so the work compounds instead of scattering.