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Industry

Fintech

Payments, lending and wealth platforms built to scale and to satisfy your partner bank. Indian fintech rides on public rails like UPI, Account Aggregator, eKYC and NACH, usually in partnership with a regulated bank or NBFC. The product has to move fast, but the ledger must always balance, reconciliation must close daily and the partner's compliance team must be able to see every control.

  • Payment aggregators and gateways
  • Digital lending platforms
  • Wealth and investment apps
  • Neo banking and card programmes
  • B2B payments and expense management
  • Cross border remittance
Close up of a person scanning a QR code with a smartphone to pay

The pressure points

What slows fintech teams down

Ledgers that drift
Transactions pass through gateways, banks and wallets with different settlement cycles. Without a proper double entry ledger, reconciliation breaks at volume.
Fraud moves faster than rules
Mule accounts, account takeovers and promo abuse adapt quickly. Static rules catch yesterday's pattern.
Partner and regulator requirements
Partner banks expect audit trails, data localisation, grievance handling and outsourcing controls before they go live and at every review.
Growth outpacing operations
Support, disputes and chargebacks grow with users, while operations teams still work from exports and shared sheets.

Built for this sector

Systems specific to fintech

The work that generic software does not cover, and where most of the value sits.

Double entry ledger
An immutable ledger with accounts per user, merchant and pool, idempotent postings and balances that can be audited at any point in time.
Reconciliation engine
Matches gateway, bank, NPCI and internal records daily, ageing breaks and routing them to an ops queue with suggested fixes.
Real time fraud and risk engine
Device, velocity and behaviour signals scored in milliseconds with rule overrides and case management for analysts.
Dispute and chargeback workflow
Intake, evidence collection, network deadlines and outcome tracking for UPI disputes and card chargebacks.

Where AI helps

AI use cases with a clear return

  1. Anomaly detection on transactions

    Models spot unusual merchant, device or velocity patterns and raise cases with the evidence attached for an analyst.

    Analysts review fewer, better alerts and catch new fraud patterns earlier.

  2. Automated reconciliation

    An agent explains reconciliation breaks by reading settlement files and bank statements, then proposes the matching entry for approval.

    Daily close finishes earlier and fewer breaks age past the month end.

  3. Underwriting support

    Summarises bank statement, bureau and AA data into a credit view with reasons, leaving the decision to the lender's policy and credit team.

    Faster decisions that remain explainable to the partner and the borrower.

  4. Support and dispute agent

    Answers payment status, refund and KYC questions from live data and files disputes with the right details.

    Customers get accurate answers quickly, and the support team handles fewer status checks.

What your team would see

Payments operations
Illustrative
TPV (MTD)
₹412 Cr
Payment success rate
94.8%
Unreconciled items
0.07%
Fraud loss (bps)
1.9

Daily transactions, lakh

Daily transactions, lakh, point 1: 8.1Daily transactions, lakh, point 2: 8.4Daily transactions, lakh, point 3: 8.9Daily transactions, lakh, point 4: 8.6Daily transactions, lakh, point 5: 9.3Daily transactions, lakh, point 6: 11.2Daily transactions, lakh, point 7: 10.4Daily transactions, lakh, point 8: 9.1Daily transactions, lakh, point 9: 9.5Daily transactions, lakh, point 10: 9.8Daily transactions, lakh, point 11: 10.2Daily transactions, lakh, point 12: 10.6

Volume by method, %

  • UPI71
  • Cards14
  • Net banking8
  • Wallets4
  • EMI and BNPL3

A sample of the kind of dashboard we build for this sector. Figures are illustrative.

Connects with

  • Sponsor bank APIs
  • NPCI UPI, NACH and BBPS
  • Account Aggregators
  • Credit bureaus
  • eKYC and video KYC providers
  • Card networks and processors
  • Razorpay, Cashfree and other gateways

Rules we design for

Before you start

Fintech: common questions

Can you build a ledger that our auditors will trust?

Yes. We use double entry with immutable postings, idempotency keys and full history, and we write reconciliation tests before features. Auditors can trace any balance to its entries.

Do you handle PCI DSS scope?

We design to keep card data out of your systems where possible by using tokenisation from a compliant processor. Where scope is unavoidable, we build to the controls and support your QSA assessment.

How quickly can we launch with a partner bank?

A focused first product is usually 6 to 8 weeks of build, but partner bank onboarding and audits often set the real date. We plan both tracks together.

Talk to us

Working in fintech?

Tell us which process hurts most. Someone who knows the sector will reply with two or three options and rough hours.

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Tell us what you are trying to build.

Share the problem in a short call. You leave with a clear view of the approach, the team and the cost.

Or get a ballpark proposal in two minutes

A specialist replies within one working day. The first conversation is free.

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