Four practices that ship working systems.
We take responsibility for the whole path — strategy, architecture, build, cutover and the operating model that keeps it alive afterwards.
- AWS
- Azure
- Kubernetes
- Terraform
- React
- Next.js
- TypeScript
- Node.js
- Go
- Python
- .NET
- PostgreSQL
- Snowflake
- Databricks
- Kafka
- dbt
- Claude
- LangGraph
- GraphQL
- Datadog
Applied intelligence
AI Solutions
Agentic systems, LLM platforms and applied machine learning that move past the demo and into daily production use.
- 62%
- Cycle-time reduction
- 3.4x
- Throughput per engineer
- < 90d
- Demo to production
Capabilities
- Agentic workflow automation
- LLM application platforms & RAG
- Document and vision intelligence
- Model evaluation & guardrails
- MLOps and inference cost tuning
- AI readiness and data strategy
How we approach it
Start from the workflow, not the model
We map the human process end to end and find the steps where automation compounds. The model choice follows the workflow, never the other way round.
Evaluate before you scale
Every agent ships with a regression suite of graded cases. You get a measurable quality bar that holds as prompts, models and data drift.
Design for the failure case
Human escalation paths, deterministic fallbacks and audit trails are built in from day one, so the system degrades gracefully instead of silently.
Typical stack
- Claude
- OpenAI
- LangGraph
- Vertex AI
- Bedrock
- pgvector
- Ray
Product engineering
Web Applications
Web platforms and internal products engineered for scale — from first prototype to a system carrying millions of sessions.
- 98
- Median Lighthouse score
- -71%
- Time to first byte
- 2wk
- To first shipped increment
Capabilities
- Full-stack product engineering
- Design systems & accessibility
- Legacy application modernisation
- API platforms and integrations
- Performance & Core Web Vitals
- Engineering team augmentation
How we approach it
Ship in week two
A thin, production-deployed slice goes live early. It proves the architecture, the pipeline and the release process before the scope grows.
Accessibility is not a phase
WCAG 2.2 AA is part of the definition of done. Keyboard paths, contrast and semantics are tested in CI, not retrofitted after launch.
Leave a team that can run it
Documentation, runbooks and pairing are part of the engagement. When we hand over, your engineers own the system outright.
Typical stack
- React
- Next.js
- TypeScript
- Node.js
- Go
- .NET
- GraphQL
- PostgreSQL
Database modernisation
Data & Migrations
Zero-downtime database migrations and data platforms — moving decades of business-critical data without losing a single row.
- 0
- Rows lost, ever
- < 5min
- Typical cutover window
- -58%
- Licensing spend removed
Capabilities
- Zero-downtime database migration
- Oracle / SQL Server to PostgreSQL
- Data warehouse & lakehouse builds
- Real-time CDC pipelines
- Data quality and governance
- Query and cost optimisation
How we approach it
Dual-write, then verify
Change data capture keeps old and new systems in lockstep while an automated reconciler compares them row by row until divergence is zero.
Rehearse the cutover
We run the switch against production-scale data repeatedly until the timing is boring. The real cutover should be the least eventful one.
Keep the door open
The legacy system stays warm and writable behind a feature flag until you are satisfied. Rolling back is a decision, not an incident.
Typical stack
- PostgreSQL
- Oracle
- SQL Server
- Snowflake
- Databricks
- Debezium
- dbt
- Kafka
AWS & Azure, end to end
Cloud Consulting
Cloud architecture, migration and platform engineering across AWS and Azure — with the FinOps discipline to keep the bill honest.
- -43%
- Monthly cloud spend
- 99.98%
- Platform availability
- 12x
- Deployment frequency
Capabilities
- Landing zones & multi-account setup
- Datacentre to cloud migration
- Kubernetes & platform engineering
- FinOps and cost governance
- Security, compliance & IAM
- Disaster recovery and resilience
How we approach it
Landing zone first
Accounts, networking, identity and policy get set up properly before a single workload moves. Retrofitting governance costs several times more.
Cost is an architecture decision
Budgets, tagging and anomaly alerts ship with the infrastructure. Teams see the price of a design choice while they are still making it.
Everything as code
Terraform, policy-as-code and reproducible pipelines. No environment exists that cannot be rebuilt from the repository.
Typical stack
- AWS
- Azure
- Kubernetes
- Terraform
- Pulumi
- ArgoCD
- Datadog
- GitHub Actions
Three ways to work with us
Fixed-scope delivery
A defined outcome, a fixed envelope and a committed date. We absorb the estimation risk, which is why discovery comes first.
Best for: a clear problem with a hard deadline
Embedded squad
A senior, cross-functional team that joins your delivery organisation and works to your board, your rituals and your definition of done.
Best for: sustained capacity alongside your own teams
Architecture review
A short, intensive assessment of an existing system or a plan you are about to commit to, ending in a written recommendation.
Best for: a decision you cannot afford to get wrong
A method that makes the date believable.
Four stages, each with an explicit exit criterion. You always know which one you are in and what has to be true to leave it.
- 01
Imagine
We start with the problem, never the technology. A short, intense discovery that asks what would actually be better — and tells you plainly if the idea needs reshaping before anyone writes code.
- 02
Innovate
We work out how it can be done, then whether it should be done that way. The right architecture, the right model, the right amount of system — and a fixed commercial envelope before you commit.
- 03
Implement
Two-week increments, deployed to a real environment from week two. Progress is something you can click on, not a percentage in a status report.
- 04
Impact
Runbooks, observability and measured outcomes until the system is yours outright. A project is not delivered when it is demoed — it is delivered when it is changing the number it was built to change.
What should we build together?
Tell us the outcome you need and the date it has to land. We will tell you honestly whether we can hit it — and exactly what it will take.
Typical response within one business day · No-obligation architecture review