Everything between the idea and the on-call rotation
Four core practices — AI, mobile, cloud and IoT — supported by the data and design engineering that make them work in production. Take one, or let a single team run the whole programme.
Pick a practice, or bring us the whole problem
Every practice ships production systems on its own. Together they remove the seams where most multi-vendor programmes lose time, quality and accountability.
Artificial Intelligence
Generative intelligence, engineered for production
Agentic systems, retrieval platforms and applied machine learning that move from prototype to production — with evaluation, guardrails and cost control built in.
IoT & Edge
From sensor to shop floor to boardroom
Firmware, connectivity, edge intelligence and fleet operations — the full path from a device in the field to a decision in a dashboard.
Cloud & DevOps
Platforms that scale down as well as up
Migration, landing zones, Kubernetes and DevSecOps delivered as code — engineered for reliability, security posture and a cloud bill you can defend.
Mobile Engineering
Apps people keep on the home screen
Native and cross-platform products engineered for offline reality, store compliance and release velocity — with a design system that keeps every screen on brand.
Data & Analytics
The foundation intelligence stands on
Lakehouse architecture, streaming pipelines, governance and decision-ready analytics — because no AI programme outperforms the data beneath it.
Design & Quality Engineering
Desirable to use, dependable to run
Product discovery, design systems, accessibility and automated quality engineering woven through delivery rather than bolted on at the end.
Engagement models that fit the problem
Scope should follow the outcome. Start where the risk is, then choose the shape of the partnership — you are never locked into one model.
Discovery Sprint
Best for: Framing a new idea or de-risking a large programme
- Stakeholder and system landscape mapping
- Target architecture and integration plan
- Clickable prototype or technical spike
- Costed delivery roadmap
Dedicated Squad
Best for: Products with a live roadmap and evolving scope
- Cross-functional team: PM, design, engineering, QA
- Two-week sprints with visible progress reporting
- Shared backlog with your product owner
- Scale the squad up or down each quarter
Outcome Build
Best for: Well-defined systems with a hard launch date
- Fixed scope, fixed price, agreed acceptance criteria
- Milestone-based delivery and payment
- Full source, documentation and IP handover
- Post-launch stabilisation period agreed in the contract
Managed Run
Best for: Systems already live that must stay live
- SLA-backed support and on-call rotation
- Monitoring, alerting and incident review
- Cloud cost and performance optimisation
- Quarterly roadmap and security review
Not sure which practice you need?
Describe the outcome. We will tell you what it actually takes — including the parts you do not need us for.
We reply to every enquiry within one business day.