Services

Eight practices we staff and run.

Each practice is a discipline we deliver end to end — the engineers, the standards and the responsibility for the outcome. They combine on most engagements; none of them is a product you buy off a shelf.

Web · APIs · Applications

Software engineering

Custom applications and services, built to a specification we help you write and delivered against dates we agreed to. Web front ends, APIs and the integrations that connect them to what you already run.

  • Greenfield applications and rewrites of systems that have outgrown themselves
  • APIs and integration layers over existing estates
  • Maintenance and evolution of applications we did not originally write

Azure · AWS · GCP

Cloud

Migration and operation of infrastructure in public cloud, with the cost and the security posture treated as design constraints rather than as things discovered afterwards.

  • Migration of existing workloads, staged so the business keeps running
  • Landing zones, networking and identity
  • Cost review and right-sizing of estates already in the cloud

CI/CD · Platform · SRE

DevOps

Automated build, test and release, so that shipping is routine rather than an event. We put the pipeline in place and leave your team able to change it.

  • Continuous integration and delivery pipelines
  • Infrastructure as code and reproducible environments
  • Observability, alerting and on-call practice

Pipelines · Warehouses · Streaming

Data platforms

Collecting, storing and moving data at volume — from sensors, vehicles, transactions or production lines — so the analysis downstream has something dependable to stand on.

  • Ingestion pipelines, batch and streaming
  • Warehouse and lakehouse modelling
  • Data quality, lineage and retention

Reporting · Analytics

Business intelligence

Reporting that a decision actually rests on: defined metrics, one version of each number, and dashboards owned by the people who read them.

  • Metric definitions agreed with the business, not inferred
  • Dashboards and self-service reporting
  • Migration off spreadsheet reporting that has become load-bearing

ML · Vision · Language

Artificial intelligence

Applied machine learning where there is a measurable task to improve — prediction, classification, extraction, vision. We start by establishing whether the data supports the ambition.

  • Feasibility work before a model is trained
  • Model development, evaluation and deployment
  • Language and document processing over your own corpus

UX · UI · Design systems

Product design

Interface and interaction design for software that people are obliged to use at work, where clarity matters more than delight and a design system outlives any one screen.

  • Research and flows before any interface is drawn
  • Interface design and design systems
  • Accessibility to WCAG 2.1 AA

Programme · Agile · Governance

Delivery management

Running the engagement itself: scope, sequence, dependencies and the reporting your governance needs, so the engineering work is not the thing that has to absorb the uncertainty.

  • Programme and project management
  • Agile delivery inside existing corporate governance
  • Vendor and multi-team coordination

Delivered for

Which of these does your engagement need?

Describe the problem rather than the role, and we will tell you what it actually takes.