Senior teams thatstay through tothe second year.

Agencies optimise for the launch, because that is when the invoice clears. The problems show up later: the test suite nobody maintains, the deploy only one person understands, the dependency that went unpatched for a year. We staff senior, write the boring parts down, and measure ourselves on how the thing runs once we have gone.

The work itself.

1. 01

   End-to-end product build

   Discovery through launch and operation, with one accountable team rather than a relay of specialists.

2. 02

   Cloud and microservices

   Architecture sized to the actual load, not to the diagram, and simple enough for your team to reason about at 3am.

3. 03

   Legacy modernisation

   Codebase analysis, migration planning and incremental refactoring, with parity testing at every cut-over.

4. 04

   AI-assisted delivery

   Requirements drafting, code review, test generation and documentation, used where it genuinely speeds work up.

5. 05

   Test automation

   Unit, integration and end-to-end suites with self-healing selectors and coverage that reflects real risk.

6. 06

   SRE and reliability

   Service objectives, observability, incident process and on-call handover you can actually run.

Four phases, and whatyou hold at the end of each.

1. 01

   Shape

   A short discovery that ends in a written scope, the risks named, and the parts we think you should not build.

   You getScope, architecture, risk register, estimate

2. 02

   Thin slice

   The narrowest path through the whole system, deployed to a real environment, so integration risk surfaces in week three rather than month five.

   You getDeployed slice, CI pipeline, environments

3. 03

   Build

   Two-week increments against the scope, demoed working rather than reported on, with changes priced as they come up.

   You getWorking increments, test suite, live docs

4. 04

   Operate and hand over

   We run it in production with you, then transfer it: runbooks, on-call, and paired work until your team is comfortable.

   You getOperating service, runbooks, trained team

What we build on.

• TypeScript / Python
• React / Next.js
• Node / FastAPI
• PostgreSQL
• Docker / Kubernetes
• GitHub Actions
• Playwright / Cypress
• SonarQube / Snyk
• Claude / Copilot
• Datadog / Grafana

Shipped, and still running.

• Appriss RetailSnowTime — Retail POS Data Platform on SnowflakeAgentic dbt Automation — ingesting encrypted retail POS files from 90+ global retailers into the governed ARDM star schema.Read case study
• GranicusZero-Copy Data Mesh with DremioSemantic Layer + GenAI on AWS — querying 30+ sources and 1B+ data elements in place with zero copies.Read case study

What people ask first.