Transaction processing that treats correctness as non-negotiable.
Fintech doesn't get to be “eventually consistent and probably fine.” We build event-driven services for real-time transaction processing, with payment and banking integration, using the same idempotency and outbox discipline that makes the difference between a reconciled ledger and a support queue full of “where's my money.”
What this looks like in practice
Event-driven transaction processing on Kafka, with the same transactional-outbox and idempotent-consumer discipline that stops a reconciled ledger from becoming a support queue.
Payment and banking integration (Stripe, Plaid and equivalents) built around your actual settlement and reconciliation model, not a generic checkout flow.
Idempotency keyed on business identity so retries, timeouts and duplicate webhooks never double-charge or double-post a transaction.
Full audit trail by construction — every event is durable and replayable, so reconciliation and dispute investigation don't rely on logs someone remembers to check.
Load-tested throughput and failure-mode testing before go-live, because a fintech incident under real load is not the place to discover a gap.
The same discipline, proven in production
The transaction-processing patterns here are the ones proven in our order-processing platform — 90% faster processing, in production for 2+ years for the same client. Read the case study →
Fintech engineering — frequently asked questions
Do you work with regulated/compliance-heavy fintech environments?
Can you integrate with our existing payment processor?
How do you prevent double-processing of transactions?
Talk to an architect about your transaction systems.
Tell us what has to be correct and what's currently at risk — we'll map the fix.