FINTECH

Fintech Software Consulting

We build the production systems behind wealth-tech, trading, and data-heavy finance products, real-time dashboards, market-data pipelines, portfolio analytics, and money-handling backends, engineered for correctness where failure costs money.

The Challenge

In fintech, software failure has a price tag. A dropped tick corrupts a backtest, a non-idempotent order endpoint double-fills, a lagging pipeline makes a portfolio dashboard wrong, and a reconciliation gap surfaces as a regulatory problem. Generic dev shops treat these as edge cases; in finance they are the core requirement. Most teams stall in the gap between a working prototype and a system they can trust with real money and real users.

Our Approach

We engineer financial systems with explicit correctness guarantees: idempotent writes on anything touching an order or ledger, exactly-once processing on data pipelines, audit trails and event sourcing where reconciliation matters, and observability so a wrong number is visible before a stakeholder finds it. We move in 8-to-14-week phases that each ship something real, and we apply the same market-data and backtesting patterns that run our own quantitative research platform.

What We Deliver

Real-Time Portfolio Dashboards

Live position, P&L, and risk dashboards backed by streaming market data, built to stay correct and responsive under high update rates.

Order & Execution Systems

Order management and execution flows with idempotency, state machines, and audit logs so fills are never lost or double-counted.

Backtesting & Analytics Engines

Backtesting and portfolio-analytics engines over historical and live data, the same infrastructure that powers our own research platform.

Market-Data Pipelines

Streaming tick and reference-data ingestion for thousands of instruments into time-series stores, with backpressure and replay.

Reconciliation & Audit

Event sourcing, ledgers, and reconciliation tooling so every number traces back to a source and discrepancies are caught early.

Integrations & Backend

Broker APIs, custodian feeds, and internal services wired into reliable backends with auth, rate limiting, and idempotency handled.

How We Work

01

Architecture Teardown

A focused review of your workflow and stack to map 2 to 3 places where custom backend, data, or AI work reduces cost, latency, or risk.

02

Scope a Phase

We define an 8-to-14-week slice that ships something real, with correctness guarantees defined up front, not discovered later.

03

Build & Harden

Idempotency, observability, and reconciliation engineered in, then tested against messy real market data and failure conditions.

04

Ship & Hand Off

Production deployment with dashboards, alerts, and runbooks so your team can operate the system confidently after handoff.

TYPICAL STACK
Python / TypeScriptPostgreSQL / TimescaleDBClickHouseKafka / Redis StreamsFastAPINext.jslightweight-chartsAWS / GCP

Frequently Asked Questions

We design and build the production systems behind finance products: real-time portfolio dashboards, order and execution flows, market-data and tick pipelines, backtesting engines, reconciliation, and the backends that tie them together. The focus is correctness and reliability under money-on-the-line conditions, not just shipping a feature.

Let's scope your build.

Tell us about your requirements. We'll respond within 24 hours with an initial architecture assessment.

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