Industry
Financial Services
Lenders, development funds and payment providers can serve customers who have no collateral but do have verifiable trading, tax and payroll histories. Our models run inside your policy rules, so every decision is defensible to your board and your regulator.
Challenges we address
- Collateral requirements exclude young entrepreneurs and SMEs.
- Thin-file applicants with no bureau history.
- Regulatory expectations for explainability, fairness and data minimisation.
- Slow, inconsistent manual underwriting.
Data already held · Consented invoices, tax and social-security compliance records, payroll, repayment history.
What we build
Inclusive credit scoring
Score, tier, limit and price applications on verified trading activity rather than collateral.
Supplier and invoice finance
Advance working capital against verified invoices to large buyers and government.
Empowerment and development funds
Assess applicants on trading and compliance history with plain-language reasons for every outcome.
Model risk management
Validation for accuracy and fairness, drift monitoring and full decision lineage.
Relevant solutions
01 Inclusive Credit Scoring
Lending on verified trading data instead of collateral
Scoring businesses on verified trading, tax and payroll compliance records opens credit to young entrepreneurs and SMEs who have no collateral. Machine learning runs inside the lender's policy rules, so every decision is explainable and auditable.
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02 Decision Support Console
AI recommends, people decide, everything is logged
A single live view of operations in which AI recommends actions with a confidence level, reasons and projected impact. Operators and officials accept, adjust or dismiss, and a benefits ledger separates value realised from value projected.
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Talk to us about financial services
Tell us the business result you're after. We'll tell you honestly whether AI and analytics are the right lever, and what it would take.