Multi-dimensional credit scoring
Scores credit using financial statements, alternative data, market signals, and behavioural or macro inputs, with factor-level explanations for decisions.
Truffles AI is a credit intelligence and risk systems platform for lenders and credit institutions, with AI credit modelling, portfolio risk tools, and GL intelligence for reporting and compliance.
Truffles AI is a credit intelligence and risk systems platform for lenders, credit institutions, and finance teams that need to turn financial data into underwriting, monitoring, and reporting outputs. The site presents three main products: Credit Modelling, Risk Systems, and GL Intelligence.
Across those products, the platform focuses on AI-assisted scoring, configurable risk infrastructure, and ledger intelligence. It emphasizes explainable outputs, auditability, and deployment into existing data environments rather than requiring a separate standalone stack.
Scores credit using financial statements, alternative data, market signals, and behavioural or macro inputs, with factor-level explanations for decisions.
Combines document ingestion, third-party enrichment, and continuous validation so scores and risk views stay current and auditable.
Provides portfolio monitoring, stress testing, concentration limits, early warning signals, and regulatory reporting for lending books.
Replicates ERP or general-ledger data into a safe analytics environment, then supports GL mapping and disclosure preparation with human review.
Surfaces lineage, reviewer status, mapping rules, and approval history so outputs can be traced back to source rows or journal entries.
Supports API-first delivery and multiple connector paths, including ERP, core banking, LOS, CRM, warehouse, SFTP, webhook, and batch modes.
Assess borrower applications using financial statements, alternative data, and market signals, with factor-level explanations and fast turnaround for underwriting teams.
Monitor loan books for exposure concentration, grade migration, covenant risk, and early warning signals, then trigger reporting or workflow actions.
Prepare disclosure packages and accounting work for FASB-related requirements using a controlled ERP replica, GL mapping, and audit-ready lineage.
Connect internal systems and third-party data sources into a unified credit intelligence layer for teams that want one path from ingestion to decisioning.
It is designed for lenders and credit institutions that need AI credit scoring, risk infrastructure, or general-ledger intelligence for reporting and compliance workflows.
The source describes configurable deployment for credit modelling, risk systems, and GL Intelligence. The risk system and GL Intelligence pages also reference integration with existing stacks such as core banking systems, ERPs, warehouses, and cloud environments.
The site presents PCI DSS compliance, SOC 2 Type II controls or work in progress, and zero-data-retention claims for its AI partners on the home page. The GL Intelligence product also emphasizes private deployment and audit trails.
The site references book-a-demo and schedule-a-consultation calls to action. A pricing page URL exists but currently returns a 404, so no public pricing details are available from the provided sources.