RiyaRisk
What it is
Early-warning risk intelligence for banks — see problem loans and concentration risk before they crystallise.
The problem it solves
By the time a non-performing asset shows up in standard reporting, the recovery options are already narrow.
Industries served
Banks, NBFCs, lenders.
How it works
Quantum-inspired spectral graphing across borrower, sector and macro signals to surface stress clusters days before standard scorecards move, with an audit trail a regulator can read.
Status / proof
Pilot deployments in Indian and Gulf banking. Pilot framing applies to all metrics.
FAQs
Does it replace existing scorecards?
No — it sits alongside and provides earlier weak-signal warnings.
Research references
← All products · JAQL Research
Published by Jumpstart AI and Quantum Labs. Co-founders: Dr. Nupur Mukherjee (Chief Science Officer) and Kishan Sathyan (Chief GTM Officer). Research cited as SSRN preprints; JAQL technology is quantum-inspired and runs on classical infrastructure.