Fintech & Banking

Money moves in real time now. Most back offices still do not.

Our goal in this sector

Move money and data faster with systems built for scale, security, and regulation.

// 01 — State of Play

Where the
sector stands.

Financial services have spent a decade unbundling. Payments, lending, custody, compliance, and identity are all available as APIs, which means a well-engineered team can assemble a product that used to require a charter and a data center. The advantage has shifted from access to execution.

But the back office is where fintech companies quietly break. Reconciliation, ledgering, dispute handling, and reporting are treated as afterthoughts until volume arrives — and then they become the thing that caps growth. The durable engineering work in this sector is in the ledger, not the landing page.

// 02 — The Shifts

What technology is changing right now.

The forces reshaping this industry — and why they turn into engineering problems.

Shift 01

Real-time settlement changed the clock

Instant payment rails removed the overnight batch window that legacy systems were designed around. Risk decisions, fraud checks, and balance updates now have to happen in the same second as the transaction.

Shift 02

Embedded finance moved money into other products

Marketplaces, SaaS platforms, and logistics companies now issue accounts, cards, and payouts. Each one needs ledgering and compliance infrastructure that was never part of their original product.

Shift 03

Compliance became continuous

KYC, AML monitoring, and sanctions screening moved from periodic review to always-on pipelines. That is an engineering problem — throughput, false-positive tuning, and case management — as much as a legal one.

Shift 04

Fraud got automated

Attackers use the same automation defenders do. Detection has moved toward behavioral signals and real-time scoring, which requires event infrastructure most teams have not built.

// 03 — Friction

Where it breaks today

  • Reconciliation done in spreadsheets at the end of every day
  • A ledger that is really just a transactions table, until an auditor asks a question
  • Manual review queues that grow faster than headcount
  • Reporting that cannot answer 'what was the balance at 3pm last Tuesday'
  • Vendor APIs stitched together with no retry, idempotency, or replay story
// 04 — What We Build

Systems that fix it

Double-entry ledgers

Immutable, auditable, balance-correct ledger systems with reconciliation built in — the foundation everything else in a financial product sits on.

Payment and payout orchestration

Integration across processors and rails with idempotency, retries, webhooks, and clean failure handling so money never lands twice or disappears.

Risk, fraud, and compliance tooling

Rules and scoring engines, case management for review teams, and the audit trail that makes an examination survivable.

Trading and market data systems

Low-latency order handling, market data ingestion, and position and P&L engines for teams that need performance measured in milliseconds.

// 05 — Ground Rules

How we engineer here

Correctness over speed

Financial systems are one of the few places where a slower, more conservative design is the right answer. Money bugs are not the same as UI bugs.

Auditability

Every state change is recorded, attributable, and reconstructable. History is append-only.

Idempotency

Networks fail mid-transaction. Every money-moving operation is designed to be safely retried without duplicating value.

Regulatory alignment

Licensing and regulatory posture stay with you or your sponsor bank. We build to the controls and reporting your compliance function requires.

// 06 — Glossary

The language of the sector

Plain-English definitions, so nobody has to pretend they know what an acronym means.

Double-entry ledger
An accounting structure where every transaction is recorded as balanced debits and credits, making it mathematically provable that the books are correct.
Reconciliation
Comparing your internal records against an external source — a bank, processor, or counterparty — and resolving every difference.
Idempotency key
A unique identifier attached to a request so that retrying it never causes the operation to run twice.
KYC / AML
Know Your Customer and Anti-Money Laundering — the identity verification and transaction monitoring obligations financial businesses operate under.
// 07 — Questions

Straight answers.

Can you build on top of our existing processor?

Yes. We are provider-agnostic and typically build an orchestration layer so you are not permanently locked to one processor's API shape.

Do we need our own ledger if our processor already tracks balances?

Almost always yes. A processor tracks its own view. Your ledger is your source of truth, and it is what you reconcile against them.

How do you handle secrets and keys?

Credentials live in managed secret storage, never in code or client bundles, with scoped access and rotation.

Running one of these
operations?

Describe your setup to our AI Strategist and get an architecture sketch back in seconds — or go straight to a human.