Introducing GIX Verify: one standard for every loan file
Automated screening, sampling and CMA for banks, NBFCs and co-operative lenders, organised by loan product.
Read · 3 minUpload a file once. GIX Verify reads every document, verifies it at the source, runs up to 112 fraud and policy checks for that loan product, and gives your team a clear Green, Amber or Red report, with the reason behind every flag.
No more photocopies passed from desk to desk. Every file follows the same path, every check is recorded, and your team only touches what needs a human.
A sales executive uploads the file, or the applicant uploads through a secure link. Scans, PDFs and phone photos are all accepted.
Branch, DSA or applicantEach document is recognised, read and matched to the product checklist. Identity, business, property and vehicle details are verified at source.
Verified at sourceDocument, policy and cross-file checks run together. Each flag carries a severity, the evidence behind it and the action to take.
Up to 112 checks per fileYour team gets a Green, Amber or Red screening report, a list of files that need a field visit, and a CMA report where needed.
Green · Amber · RedEach product has its own document checklist. Each document has its own checks. The product adds its policy checks, and six cross-file fraud checks run on every file.
Purchase or construction of a house; salaried or self-employed
The detailed check library is shared with lenders during onboarding.
Manual screening looks at one file at a time and trusts the photocopy. GIX Verify checks the source and looks across your whole book.
Pick the loan product and the platform knows which documents it needs, which are conditional, and which checks run on each one. A home loan file and a business loan file are never screened the same way.
The same mobile number, address, bank account or document appearing on unrelated applicants is spotted across your whole book, not just inside one file.
Edited PDFs, changed fonts, broken balance arithmetic and pasted signatures are flagged on bank statements, salary slips and property papers.
Instead of fixed percentages, files are sent for field verification because of what was found, with the reason for every visit.
Each flag shows what was checked, what was found, why it matters and what to do: hold as Red, send for sampling, ask the applicant, or review.
Every flag shows what was checked, what was found and what to do next. Your credit and fraud teams stop hunting through paper and start deciding.
Public sector, private and small finance banks can run every retail and MSME file through the same checks, whichever branch or channel sourced it, and see the result before sanction.
Upload the balance sheets, profit and loss and projections. GIX Verify builds the CMA data, works out the permissible bank finance and the key ratios, and flags numbers that do not tie up. Try the second method of lending below.
Illustration of the second method of lending only. Your lender's own policy and assessment decide the final limit.
Move the sliders to match your book. The result is the desk time freed each month when your team reviews a screened report instead of checking every document by hand.
Illustration only, based on the numbers you enter. Field visits avoided through targeted sampling are not included.
From a 7/12 extract in Maharashtra to a GST return in Tamil Nadu, the checks follow how Indian loan files actually look, and the rules Indian lenders work under.
The rules are enforced by the platform itself, so they hold even if someone tries to go around the screens.
Applicant data and documents are stored and processed in data centres in India.
Every lender user signs in with a password and an authenticator code.
Closing or waiving a flag needs a second person with the right role, never the person who raised the file.
Separation between lenders is enforced by the database on every request, not just by the screens.
Every check, comment, override and download is recorded, and each record is sealed to the one before it.
Applicant consent is recorded before data is fetched, used only for the stated purpose and deleted on schedule.
Automated screening, sampling and CMA for banks, NBFCs and co-operative lenders, organised by loan product.
Read · 3 minWhat a fraud control unit actually does, why most of it is still manual, and where automation helps most.
Read · 6 minThe patterns fraud teams look for in bank statements, from broken arithmetic to circular transfers.
Read · 5 minTell us about your lending and we will screen a few sample files with you, set to your products and your policy.