Expertise
The problems we solve most, the architecture we practice, the tools we trust, and the industries we've served. We show how we approach each — the implementation internals stay with our clients.
Problems we solve most
Each one links to the case studies where we solved it.
Scaling a startup into production
A system that outgrew its first architecture and a team that outgrew its own process.
Replacing a system without downtime
The legacy system is replaced while the business keeps running as normal.
Real-time systems under load
Auctions, chat, live collaboration: where seconds decide.
AI from prototype to production
Agentic systems and RAG that hold up to real users and real audits.
Regulated environments
GDPR, PSD2, SOC 2: compliance built into the system without slowing delivery.
Stabilising inherited code
Code brought under control: tests, measurements, predictable releases.
System architectures we practice
Frontend
Interfaces that stay fast when the data gets heavy.
TypeScriptDEFAULT
Types are the documentation that can't go stale. Every project starts here.
React
The UI layer we've shipped for eight years — dashboards, storefronts, live auctions.
Next.js
Server rendering and static generation where speed and SEO pay rent.
Zustand
Transient state kept fast — sub-100ms interfaces on heavy project grids.
WebSockets
Live auctions, chat, notifications — an interface that updates itself.
Backend
The services, databases, queues and workflows that hold a platform together.
Node.jsDEFAULT
One language across the stack, and an ecosystem that carries real-time well.
Python
Data work, AI services, and the scripts that keep a platform honest.
Golang
For services that must stay available and fast under load.
PostgreSQLDEFAULT
Transactional, indestructible, boring. The answer unless proven otherwise.
Redis
Queues, caches, pub/sub — the glue of every real-time system we've built.
Queues
Redis-backed, Postgres-as-a-queue, or cloud-native — whichever the environment and the project call for.
Fastify · FastAPI
The thin API layer on top — Node or Python — where request throughput is the feature.
Durable workflows
Long-running processes that survive a restart and carry on where they stopped.
Cloud & DevOps
Deploys that stay boring, estates that survive staff turnover.
AWS10 YEARS
A decade of production AWS — EC2 to EKS, KMS envelope encryption, OIDC-federated Terraform. We know it down to the IAM edge cases.
Docker
The same artifact on a laptop and in production. No surprises in between.
Kubernetes
When many services need one platform — and not before.
Terraform
Infrastructure as code that outlives the person who wrote it.
GitHub Actions
Deploys on short-lived federated credentials, not stored secrets.
Datadog
If it isn't observable, it isn't done.
AI work
SHIPPEDNot demos — deployed systems: a 40+ tool agentic loop, RAG over construction documents, AI in compliance-grade platforms.
Claude APIDEFAULT
Agentic loops, extended thinking, prompt caching — our reasoning engine of choice.
MCP
Tools exposed to models properly — OAuth-secured, auditable.
RAG pipelines
Your documents, answerable — extraction, vectorization, recall.
pgvector
Vector search where your data already lives, instead of one more database.
AI hardening
Request signing, allowlisting, sanitization — the security line AI budgets forget.
Industries
Credentials
What we can prove today, and what we're formalizing next.
Compliance engineering
SOC 2 Type 1 readiness delivered for a fintech client; UK GDPR, MLR, and PSD2 compliance engineered into production; STRIDE threat modeling as standard practice.
AWS depth
Ten years operating client estates on AWS — ECS to EKS, KMS envelope encryption with crypto-shredding, infrastructure as code with OIDC-federated deploys.
Formal certification
ISO 27001 certification and AWS credentials are on the agency roadmap — formalizing the standards we already engineer to.