FinTech Solutions
Production-ready platforms for payments, identity, trading and lending — engineered for scale, security and the compliance bar regulated markets demand.
Talk to Our FinTech Team500+
Products Delivered
400+
Clients Served
6
Countries Served
5.0
Rating on Clutch
Four pillars of FinTech excellence
Payment Gateways
Gateway integrations built to PCI-DSS requirements, with multi-currency, multi-rail support (UPI, cards, ACH, SEPA) and smart routing with automatic failover between providers.
- Tokenization & vaulting
- Recurring billing
- Fraud scoring
- 3DS 2.0 / SCA
KYC / AML Platforms
End-to-end identity verification with document OCR, liveness detection, PEP & sanctions screening — RBI/FATF aligned.
- Aadhaar + PAN + passport OCR
- Liveness + face match
- PEP/sanctions lists
- Risk scoring engine
Trading Dashboards
Real-time order books, portfolio analytics and execution consoles built on low-latency WebSocket + streaming architectures.
- Sub-100ms quote feeds
- Charting (TV / custom)
- Risk limits & kill-switch
- Audit-grade logging
Lending Systems
Loan origination, underwriting and collections platforms with bureau integrations, e-sign and configurable workflows.
- Credit decisioning engine
- Bureau APIs (CIBIL/Experian)
- E-NACH / mandates
- DPD & collections
Financial products where the hard part is rarely the interface
Every fintech product looks like a handful of screens and turns out to be a ledger, a reconciliation process and a set of edge cases nobody scoped. The transfer screen is an afternoon; the question of what the balance should read while a transfer is pending, has partially failed, or has been reversed after settlement is where the actual product lives. We build starting from that model, because a system whose money states are wrong cannot be fixed by improving the interface on top of it.
The same applies to compliance. A lending platform is a credit decision, an audit trail and a set of disclosures with a form in front of them. A wealth product is a position-keeping and valuation problem before it is a chart. Treating the regulated core as the product — and the interface as the thin layer over it — produces systems that survive their first audit, and it is the distinction that separates fintech engineering from ordinary application development.
We are also candid about what should not be built. Card issuing, identity verification, sanctions screening and core banking are mature vendor categories, and building them in-house is almost always a way to spend eighteen months arriving where a provider already is. The value is in the workflow, the decisioning and the customer experience specific to your business, which is exactly where off-the-shelf platforms fit worst.
We have delivered 500+ products for 400+ clients across six countries since 2013 and hold a 5.0 rating on Clutch. In financial work, that history mostly shows up as knowing which integrations carry hidden timelines, which features look essential in a pitch and go unused in production, and where a narrower product beats a comprehensive one that never quite ships.
From financial requirement to running product
Money Model First
Accounts, balances, states and the transitions between them — including reversals and partial failures — defined before any screen is designed.
Regulatory Boundary
What licence or partner the product operates under, and which obligations that creates. This determines what can be built, not just how.
Build Against Real Data
Sandbox integrations with genuine provider behaviour, settlement files parsed for real, and reconciliation proven before launch rather than after.
Controlled Rollout
Limited launch with volume caps and monitoring on money movement, expanded once reconciliation has been clean across several settlement cycles.
Frequently Asked Questions
What teams ask before committing to a financial product build.
What does building a payment platform actually involve?
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Far more than accepting a card. The scope that surprises teams is everything after authorisation: capture and settlement timing, refunds and partial refunds, chargebacks and the evidence workflow that goes with them, multi-currency handling and FX, payout scheduling to merchants or users, and reconciliation against the processor's settlement files. The checkout is perhaps fifteen percent of the work. If a proposal treats it as the whole thing, the estimate is wrong.
Can you build lending or credit products?
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Yes — origination workflows, decisioning engines, servicing, collections and the reporting around them. The engineering questions are usually about the decision layer: keeping the credit policy configurable so it can change without a deployment, recording exactly which rules and data produced each decision for audit and adverse-action purposes, and integrating bureau or alternative data sources. Where the model touches protected characteristics, fairness testing is a requirement rather than an enhancement.
Do you build trading or wealth management platforms?
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We do, most commonly portfolio and position-keeping systems, valuation and performance reporting, rebalancing and client-facing dashboards. Being straight about scope: ultra-low-latency execution infrastructure is a specialist field with its own engineering culture, and we would tell you if that is what you need rather than take the work. Most wealth products are not latency problems — they are correctness, reconciliation and reporting problems, and those we are well suited to.
How do you handle multi-currency and FX?
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By keeping every amount stored with its currency and never mixing units, holding balances per currency rather than converting eagerly, and recording the rate and timestamp used for any conversion so a figure can always be explained later. Rounding rules are agreed explicitly and applied in one place. The common failure is converting early for display convenience and losing the ability to reconcile against a provider who did the conversion differently.
What is needed for open banking or account aggregation?
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A licence or an agent relationship in most jurisdictions, an aggregation provider unless you have strong reason to connect to banks directly, and consent management that is genuinely auditable — including expiry and revocation, which teams routinely underestimate. The engineering reality is that bank connections break, data arrives inconsistently categorised, and coverage varies by institution, so the product needs to degrade gracefully rather than assume a reliable feed.
How long does a fintech product take to build?
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A focused product on top of an existing provider typically reaches a usable first release in four to six months. Anything involving a licence application, a banking partner or core system integration is realistically nine to eighteen months, and the constraint is rarely engineering — partner onboarding, compliance sign-off and certification cycles dominate the timeline. We map those in discovery so the plan reflects them.
Can you work with our existing core banking system?
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Yes, and it is common. The usual approach is an API layer in front of the core that isolates the rest of the system from its constraints, which also makes eventual replacement feasible. Older cores impose real limits — batch windows, restricted transaction types, overnight processing gaps — and those need surfacing early because they shape what the product can promise customers.
What about data ownership and moving away later?
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You own the code and the data, and both should be exportable in a standard format without our involvement. Cloud accounts, repositories and processor relationships belong in your organisation's name from the start. We treat the ability to leave as a design requirement — in financial services, concentration risk in a technology partner is something your own risk function will ask about, and it should.
Explore related work
FinTech Hub
The full picture of our financial software practice.
FinTech Services
How our engineering teams run — process, staffing and delivery.
FinTech Consulting
Architecture review, regulatory scoping and roadmaps.
Hire Blockchain Engineers
Distributed ledger and digital asset work.
Hire AI/ML Engineers
Risk models, fraud detection and decisioning.
Case Studies
Delivered work, with the engineering decisions explained.
Ready to ship a FinTech product that scales?
Book a 30-minute architecture review — we'll map your requirements to the right stack, compliance path and timeline.