Industries · FinTech
Financial software where precision is the brand.
Users forgive an ugly financial product; they never forgive a wrong one. Our fintech work is built on that asymmetry - and proven by a live product whose entire promise is showing people correct numbers, free.
What we build for fintech
- Consumer finance tools - calculators, planners, dashboards. Live example: FinCalix, 30+ calculators on web and Android with one shared calculation library so every surface agrees to the last paisa.
- Financial platforms - billing, subscriptions, metering and payment-provider integrations for SaaS products.
- Transaction-adjacent systems - idempotency keys, append-only audit trails, and the discipline that money-shaped data never lives in a cache.
- Financial document AI - extraction and summarisation with schema-constrained outputs and human verification checkpoints.
The engineering posture
Correctness is architectural, not aspirational: one tested source of truth for every formula; typed API boundaries so bad data is rejected at the door; audit logs on everything privileged; and transparency as a product feature - FinCalix shows its formulas and assumptions because in finance, showing the working is what trust looks like.
Common questions
What fintech work have you shipped?
FinCalix, live at fincalix.com - open it, run a calculation, compare it by hand.
How do you handle money-adjacent correctness?
One shared, unit-tested calculation library per product; idempotency and audit trails on anything transactional; no caching of financial state.
Building where numbers must be right?
Tell us what must never be wrong. Scope back within 24 hours.
Related: FinCalix case study · SaaS Development · Multi-tenant architecture · All industries