Capabilities

Build, modernise and scale — with engineering and AI working together.

Four capability areas, each organised around the problems customers bring us rather than a menu of technologies.

01 · Digital Engineering

Software that fits the business. Built, modernised and kept running.

We design and build enterprise applications, SaaS products and web and mobile apps, modernise the systems you already depend on, and keep them healthy after launch. One team owns requirements, UX, engineering, quality and delivery, so nothing falls between vendors.

Digital Engineering overview →

Custom Software Development

Enterprise applications, SaaS products and web and mobile apps — from requirements and UX through build, testing and launch.

Application Modernisation

Assess legacy applications, modernise their architecture and migrate them in stages — without a big-bang rewrite.

Quality Engineering

Functional, automation, performance and security testing built into delivery, not bolted on at the end.

Managed Engineering

Dedicated teams, PODs and ongoing maintenance — engineering capacity that scales with your roadmap.

02 · AI Solutions

AI that runs in production. Not just in the demo.

We start with the business problem, not the model. Our AI practice finds the use cases worth funding, builds generative and agentic AI solutions on your data, integrates them with the systems your teams already use, and puts the security, evaluation and monitoring in place to run them with confidence. One team covers the whole path, from first workshop to a monitored system in production.

AI & Intelligent Solutions overview →

Generative AI

Enterprise LLM solutions, knowledge assistants and RAG applications grounded in your own data.

Agentic AI

Multi-agent workflows that plan, act across your systems and pause for human approval where it matters.

AI Automation

Business process automation and intelligent workflows that stay predictable, auditable and cost-controlled.

Enterprise AI Integration

Connect AI to the enterprise applications and data your business already runs on.

AI Governance & Responsible AI

Security, evaluation, monitoring, privacy and responsible AI practices built into every AI system.

AI Consulting & Strategy

Readiness assessments, use-case discovery and implementation roadmaps grounded in delivery experience.

03 · AI-Native Engineering

Software delivery, rebuilt around AI agents. With engineers still holding the gate.

We change how software gets built, not just how fast one developer types. SpurTree delivery teams work inside ADIS, our AI software factory, where agents handle requirements analysis, design mapping, code generation, test creation, debt tracking and security scanning. Our engineers specify the work, review every plan and diff, and approve each change before it ships. Every requirement traces through to the code, tests and security evidence that satisfied it.

AI-Native Software Engineering overview →

AI Software Factory

End-to-end software delivery run by a SpurTree team through ADIS agents — from first requirement to reviewed release.

AI-Enabled SDLC

AI across requirements, architecture, coding, testing, security and maintenance — introduced stage by stage, with human approval at each gate.

AI-Native Engineering PODs

A dedicated SpurTree team — a spurtree POD — running your roadmap through ADIS, every stage, every week.

AI Quality Engineering

Test cases generated from acceptance criteria, scaffolded into automation and tracked against the spec — run by SpurTree QA engineers in ADIS.

AI Code Modernisation

Code analysis, impact assessment, refactoring and technical debt management — grounded in an AI-indexed model of your real codebase.

04 · Cloud & Data

Infrastructure and data that scale. Without the lock-in.

We design, migrate and operate cloud infrastructure on AWS, Azure and Google Cloud, and build the data platforms, pipelines and analytics that sit on top of it. Provider-agnostic by choice, so the architecture follows your needs rather than a vendor's catalogue.

Cloud & Data overview →

Cloud Engineering

Cloud architecture, migration, infrastructure and operations across AWS, Azure and Google Cloud.

Data Engineering

Data platforms, pipelines, integration and analytics that turn scattered data into decisions.

Not sure where your problem fits?

Tell us what you're trying to achieve. We'll point you to the right team — or tell you honestly if we're not the right fit.

Prefer a product? See our proprietary platforms.