Institutional AI for commercial credit

The Future Of Commercial Credit

Connected intelligence across the credit lifecycle, from analysis to portfolio oversight.

The decisions that move capital still run on fragmented infrastructure

Across underwriting, risk monitoring, and portfolio management, teams spend valuable time gathering information instead of generating insight.

  1. 01

    Fragmented data environments

    Credit data lives in spreadsheets, PDFs, internal models, and legacy systems that don't connect.

  2. 02

    Manual and inconsistent credit workflows

    Underwriting, spreading, and memos still rely on manual work, creating delays and inconsistency.

  3. 03

    Limited portfolio visibility

    Risk signals surface only at reporting cycles, leaving teams reactive, not informed.

A unified platform for commercial credit intelligence

CreditQuant runs every document and data feed through ORA, turning scattered information into funding-ready output your credit committee can act on with confidence.

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.

Deal Screen

Your diligence checklist, answered from the borrower’s own documents with a citation on every response, and honest about what is still awaiting sources.

Financial Spreading

Standardized onto a consistent chart of accounts, or onto your own spread template. Nothing finalizes until a person has verified every AI-filled figure.

Financial Spreading in CreditQuant

Structure & Covenants

Set the whole package, financial, negative, affirmative and reporting, then test it against the verified spread on the engine that computes the statements.

Structure & Covenants in CreditQuant

Credit Memo

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.

Credit Memo in CreditQuant

AI Analyst

Ask a question in plain English. It reads the documents, runs the analysis on your workbook data, and cites every figure it hands back.

Pipeline & Portfolio

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.

Pipeline & Portfolio in CreditQuant

Audit-ready traceability for every number and output

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

  • 01

    Zero Training on Data

    We never use your documents, prompts, or outputs to train any model.

  • 02

    Complete Isolation

    Each workspace is fully separated, with enforced cross-client boundaries.

  • 03

    SOC 2 Controls

    Built on SOC 2 policies and controls, with formal Type II certification planned.

  • 04

    Bank-grade Encryption

    Strong encryption in transit and at rest across every layer.

Meet ORA

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.