Fintech

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.”

01  How we solve it

What this looks like in practice

01

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.

02

Payment and banking integration (Stripe, Plaid and equivalents) built around your actual settlement and reconciliation model, not a generic checkout flow.

03

Idempotency keyed on business identity so retries, timeouts and duplicate webhooks never double-charge or double-post a transaction.

04

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.

05

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.

02  Proof

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 →

03  FAQ

Fintech engineering — frequently asked questions

Do you work with regulated/compliance-heavy fintech environments?
Yes — the architecture patterns we use (transactional outbox, idempotent consumers, full event audit trails) are the same ones that make reconciliation and compliance reporting tractable. We work within your existing compliance and security review process rather than asking you to work around ours.
Can you integrate with our existing payment processor?
Generally yes. Most engagements start from an existing Stripe, Plaid, or bank-API integration that needs to be made more reliable under event-driven architecture, rather than a payments integration built from zero.
How do you prevent double-processing of transactions?
Idempotency keyed on business identity — the actual transaction or state transition, not just a message or webhook ID — so a retry, a duplicate webhook delivery, or a consumer restart can't post the same transaction twice.

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.

Talk to an architect