Fixes name and birth-date mismatches that make lenders reject KYC
TL;DR Matchfile helps people whose KYC keeps failing because their Aadhaar, PAN and bank records spell their name or birth date differently. Banks, NBFCs and brokers refer rejected applicants, and Matchfile walks each one through the corrections. Lenders pay per case fixed, because a rescued applicant is cheaper than a new one.
Indian KYC checks compare names across documents, and even tiny differences fail. A small finance bank lists name mismatch as one of the most common KYC failure causes - a spelling slip, a missing middle name, or a surname not updated after marriage[1]. Brokers publish the same rejection reasons, like a PAN name that differs from the address proof or bank proof[2].
The fix is usually known but exhausting. The applicant has to correct one document, swear an affidavit, or get a banker's letter[1][2]. For a first-time borrower in a small town, that means several offices, several weeks and often a paid agent of, let's say, uneven honesty. Many just give up.
What it does, in regulatory terms: an assisted correction service, and it does not perform KYC. The lender stays the regulated entity and runs its own checks under the RBI KYC Master Direction[3].
The seed proposed a blockchain identity to bring people into finance. Indian lenders cannot accept one, because KYC must rest on officially valid documents, Aadhaar e-KYC, the central KYC registry or video KYC[3]. The real block is records that disagree with each other, so that's what Matchfile fixes.
When a lender's onboarding fails on a mismatch, it offers the applicant a Matchfile referral. A caseworker calls, works out which document is wrong and picks the cheapest fix, whether that's an Aadhaar demographic update, a PAN correction, a bank record change or an affidavit. Field partners help with visits where needed. The applicant goes back to the lender with matching papers, and the lender gets told the case is ready.
Applicants are often low-income and should pay little or nothing. Lenders, brokers and fintech apps pay a fee per case fixed, set against what it cost them to acquire that applicant in the first place. A second line is periodic KYC updation, since banks must chase overdue customers and a mismatch stalls those too[3]. I found no public price for this kind of service, so test fees in your interviews.
The RBI's KYC direction, updated in August 2025, requires banks to send repeated notices to customers due for periodic updation and sets a 30 June 2026 deadline for overdue low-risk accounts[3]. That puts millions of old records under review, and every mismatch surfaces at once. Digital onboarding also makes rejections instant and impersonal.
No public figure exists for how many KYC applications fail on name or date mismatches. The evidence is qualitative but consistent - a bank and two brokers all publish help pages on the problem[1][2][4]. As an adjacent number, India has 5,27,488 Common Services Centres offering citizen services[5], which shows how big the assisted-paperwork channel is that you'd compete or partner with.
Brokers and banks handle mismatches with help pages and manual review, for example asking for a bank statement by email[4]. CSC operators and informal agents do single corrections for walk-ins. One social enterprise runs field agents who help families claim welfare benefits[6], which is the closest model, but not for KYC. I couldn't find any company selling mismatch resolution to lenders as a referral service.
| Difficulty | Moderate (42/100) |
| Starting capital | ₹50–90 L |
| Time to launch | 4–6 months |
The software is light. The hard parts are getting a lender to share rejected applicants under a proper data agreement, keeping caseworkers' fix times short when government offices are slow, and pricing so the lender saves money. Expect each lender deal to take months, not weeks.
Matchfile needs no RBI licence of its own, because the lender performs KYC. Banks will still vet you hard.
Building this outside India? The categories above usually have a local equivalent, so check with your own regulator.
Don't let AI decide which identity is the true one. A caseworker confirms with the applicant, and the lender makes the KYC call.
Want to work out the AI layer for Matchfile? Talk to Yash →
Here's what can go south -
I like this for a founder from fintech operations or a bank's onboarding team who can sell to compliance heads. If you're hoping to build identity technology then it's a poor fit. Prove first that one lender will refer 200 rejected applicants and that you can fix half within 30 days.
Plan for roughly ₹50–90 L, mostly on caseworkers, field partners and the months it takes to sign lenders.
No, as long as the lender performs KYC and you only help applicants correct documents. Banks will vet you as a service provider, and the DPDP Act applies to applicant data.
Yes, wherever lenders reject applicants over mismatched records. Identity systems differ, so check local rules on who may help with corrections.
The free Matchfile validation kit has the line-by-line capital breakdown, the effort scoring, the KYC, outsourcing and data-protection checklist, a 14-day validation sprint with pass/fail targets, a 90-day launch plan, 10 interview questions for lenders and applicants, and 5 assumptions to test. Download the kit →
Thinking about building Matchfile or something close to it? The make-or-break work is getting a lender's compliance team to approve the referral flow, and that's a conversation I can help you prepare for. If you need a hand, you know where to find me. Talk to Yash →
For illustration only. Names are fictional and ideas hypothetical; sourced facts are real but may be out of date. Nothing here is legal, financial or professional advice, and Yash Khatri is not personally liable for any use of it. Read the full disclaimer.