Fintech products built for trust and scale
Specialist work falls apart when it never leaves the demo stage. Anything in production still needs auth, data handling, monitoring, and an interface people can use.
We prototype the risky integration first, then sort out auth, data contracts, evaluation, and monitoring before spending time on polish.
Most people who reach this page are fintech startups and financial product teams. Secure fintech software development covering dashboards, payments, compliance-minded architecture, and AI-assisted workflows.
What you get
- Payment and billing systems
- Secure auth and audit trails
- Admin and customer portals
- API-first product platforms
- One studio accountable for the result
- Design and engineering on the same schedule
- Support available after launch
How engagement works
As your fintech software development, we run a shared backlog, design reviews, and engineering sprints, and you keep one point of contact throughout.
- 01
Discover
Goals, constraints, data sources, and success metrics, all settled before we touch architecture or prompts. Nothing here waits on a handover between separate teams.
- 02
Design
System design, AI/tool boundaries, interface direction, and interaction prototypes. On fintech software development projects we favour practical architecture over trendy defaults.
- 03
Build
Modern stack, clean architecture, evaluated AI behavior, and iterative demos you can react to. The work for teams in Europe stays tied to the outcome you asked for.
- 04
Launch
Ship, monitor, harden, and keep improving models, tools, and product after go-live. You see progress on the critical path every week.
How we build it, and why
The stack is chosen per project, not applied from a template. For fintech software development work these are the defaults, and the reason each one is on the list.
- Next.js
- server rendering and static generation in one framework, so marketing pages stay fast and app routes stay dynamic
- NestJS
- structure and dependency injection on the backend, which keeps a growing API from turning into a pile of route handlers
- PostgreSQL
- relational integrity for data you cannot afford to get wrong
- Stripe
- payments, subscriptions, and the tax and invoicing edge cases you do not want to build
- AWS
- the services you grow into, once a managed platform stops being enough
What the first weeks look like
- Week 1
Spike the risky part
We build the thinnest possible version of payment and billing systems against your real data. If it is going to be a problem, it is better to know in week one than week six.
- Weeks 2-3
Harden the integration
Auth, rate limits, error paths, and the data contract. This is the work that separates a demo from something you can leave running.
- Weeks 4-6
Wire it into the product
The fintech software development stops being a standalone service and becomes a feature people use, with the interface and permissions that implies.
- Ongoing
Evaluate and tune
Behaviour gets measured against cases you care about, and we tune from that rather than from impressions.
Weighing up your options
There are three realistic ways to get this built. Each is the right answer for someone.
A solo freelancer
Cheapest per hour and fine for a contained task. The risk on fintech software development is breadth — one person covering design, backend, infrastructure, and launch usually means one of them is weak, and there is no cover when they are unavailable.
A local agency in Europe
Same timezone and a face to meet, which genuinely matters for some teams. You are also paying European clients prioritizing GDPR and solid engineering. rates for the whole team including the layers that never touch your fintech software development, and a local shortlist is a small shortlist.
Arcode
A small senior team. The people who scope the fintech software development write the code, you get weekly demos instead of status decks, and the engagement ends when the thing is live and handed over.
Work we have shipped
Brain CMS
Frontend · Firebase · Analytics
Multi-module enterprise CMS with documents, calendars, video, and advanced analytics.
Content and operations system spanning enterprise modules with Firebase and rich media tooling.
- · Multi-module business domains
- · PDF and document management
- · Advanced charting suites
- · Calendar and media workflows
React · Redux Saga · Firebase · Chart.js · Video.js
Lengju Deildin
Realtime frontend · GraphQL
Live football league experience with sockets, GraphQL, and YouTube stream widgets.
Automated league app built at Stellar Stack with live scores, widgets, and stream integrations for higher fan engagement.
- · Realtime score updates
- · YouTube live widgets
- · GraphQL data layer
- · Automated league data views
React · GraphQL · Apollo · WebSockets · Firebase
Medusa Ecommerce Store
Frontend · Medusa.js
Grocery ecommerce storefront on Medusa.js with Next.js, TypeScript, and API-driven catalog flows.
Stellar Stack ecommerce build focused on shopping UX and integrations across Medusa services and a Next.js storefront.
- · Medusa-powered catalog and checkout
- · TypeScript Next.js storefront
- · API and service integrations
- · Performance-minded product UX
Medusa.js · Next.js · TypeScript · React · Tailwind
Working with teams in Europe
European clients prioritizing GDPR and solid engineering. Work is remote-first (EU time zones), with written updates you can read in your own time. We usually collaborate in English.
How we work with Europe teams
Most of Europe sits within a couple of hours of CET, so a normal working day gives real overlap almost regardless of which country you are in. We confirm the exact hours on the first call rather than assuming one schedule fits the whole continent.
What Europe clients usually need
European briefs cluster in the UK, Germany, and the Netherlands: SaaS platforms, fintech-adjacent products, and ecommerce brands rebuilding ahead of a busy season.
Contracts, data, and compliance
GDPR shapes almost every project here: where data is hosted, how consent is captured, how long records are kept. We default to EU-hosted data stores unless there is a reason not to, and document the data flow before writing code.
