AI your credit committee can approve.
Inferra runs small, validated models inside your bank. It spreads financials, drafts credit papers and keeps every model inside policy. Borrower data never leaves your perimeter.
Built on Credit Predix, in bank production for more than 20 years across 14 institutions.
From statement to signed decision.
Most banks now carry an AI mandate. The model risk committee still has to sign. Inferra is built for the committee first, so every step leaves evidence behind it.
Every number traced to its page.
Spread reads audited accounts and management statements into your own chart-of-accounts template. Each figure links to its source line. E-invoice records check reported revenue before an analyst sees the file.
A credit paper your analysts sign, not rewrite.
Memo drafts the committee paper from the structured file: financial analysis, risks, covenants and a recommendation. Every sentence cites its source. An analyst edits, a checker approves, and the trail stays with the file.
Validation that does not wait for the annual review.
Validate watches every scorecard and model in your inventory, including third-party ones. Discrimination, stability and drift are tracked continuously, and the dossier comes formatted for your regulator.
One platform across the credit lifecycle.
Eleven products for banks, Islamic banks and licensed lenders. Each one sells against a budget line you already hold.
The screens your credit teams will live in.
Live previews — adjust an instalment, resolve a signal, toggle an adapter or run a climate scenario.
One-way by design.
Base models are trained on public filings, regulatory texts and synthetic data, then signed. They enter your data center. Nothing about your borrowers comes back out.
Shipping in order.
Questions committees ask.
No. Base models are trained externally on public and synthetic data, signed, then shipped into your data center. There is no outbound path for borrower data, statements, bureau files or model outputs.
Inferra models are one to eight billion parameters and quantized to run on hardware most banks already own. No specialist GPU fleet is required to get to production.
Validate tracks discrimination, stability and drift continuously across your whole inventory, including third-party models. Dossiers export in Bank Negara Malaysia and Central Bank of the UAE formats.
You do. Adapters tuned on your data belong to the bank and never train another institution's model. The tuning data never leaves your environment.
Start with a model audit priced at cost, followed by an early-access deployment of Core and Validate, then a staged rollout across the credit lifecycle.