Product architecture
Service boundaries, data ownership and integration design decided before code, and written down.
Software engineering
Systems that stay predictable as volume grows
Product architecture, backend systems, APIs and cloud infrastructure sized to real traffic — built to stay predictable as the product grows.
Overview
Services, integrations and infrastructure sized to actual traffic. We design for observability first, so the system tells you what it needs before your users do.
- Node.js & TypeScript
- REST & GraphQL APIs
- Data & machine learning pipelines
- Cloud infrastructure
Problems we solve
- The system slows down as it grows
- Architecture chosen for the first thousand users becomes the constraint at the hundred thousandth.
- Every change is risky
- No tests, no observability, no boundaries — so a small feature touches everything.
- Integrations are fragile
- Third-party APIs fail in ways the system was never designed to absorb.
What we build
Backend systems & APIs
Node.js and TypeScript services with REST or GraphQL contracts your other teams can build against.
Cloud & scalability
Infrastructure as code, autoscaling sized to actual load, and cost visibility per service.
Security & maintainability
Authentication, authorisation, auditability and a test suite that lets people change things safely.
Typical use cases
- Modernising a monolith without a rewrite freeze
- Building the API layer behind a web and mobile product
- High-volume integration and workflow engines
- Cost and performance work on an existing cloud footprint
How we deliver
- 01
Discovery
A scoped session to agree the problem, the constraints and the metric that will move.
- 02
Design & architecture
The smallest structure that solves it, written down before anyone writes code.
- 03
Build
Two-week increments with something reviewable at the end of each one.
- 04
Run & improve
Monitoring, iteration and a handover your own engineers can carry.
Technology we use
- Node.js
- TypeScript
- NestJS
- PostgreSQL
- MongoDB
- Redis
- GraphQL
- AWS
Related work
AI product
LifeCopilot
An AI-powered personal life management platform for goals, habits, routines and long-term life plans.
Read the case studyAI platform
Merlin
A platform for building and managing digital products with AI: assistants, automation, research, development, marketing and SEO.
Read the case studyMonitoring SaaS
CoinMarketNotifier
Crypto and stock portfolio monitoring with automated notifications on user-defined rules.
Read the case studyFrequently asked questions
- Do you do full rewrites?
- Rarely, and only when the numbers support it. Incremental modernisation behind a stable interface is usually faster and far less risky.
- Which cloud do you work with?
- Mostly AWS and managed Postgres-based platforms, but we work with whatever the team already operates.
- Can you take over an existing codebase?
- Yes. We start with a short audit, then agree what to stabilise first before adding features.
Related capabilities
Keep going
Where to go next
- Read the case studiesChallenge, solution and measured outcome from delivered engagements.Continue
- Calculate project costA guided technical discovery that returns a budget range, timeline and team shape.Continue
- Book a strategy callForty-five minutes with the engineers who would actually build it.Continue
Software engineering
Start a backend, apis & cloud conversation
Tell us the problem and the deadline. You will speak to an engineer, and get a considered reply within two working days.
