Software services with AI built into the delivery, not bolted on

AI product engineering

End-to-end product delivery where AI is part of both the product and the way we build it — from problem framing to a released, instrumented product.

What you get

• Working software in production, not slide decks
• A roadmap validated by usage data
• Engineering practices your team can own

Capabilities

• Product discovery and solution shaping
• Full-stack web and mobile builds
• AI-assisted design systems and UI implementation
• Analytics, experimentation and release instrumentation

LLM & agent systems

Retrieval, agents and copilots built with evaluation and guardrails from day one, so quality is measured rather than assumed.

What you get

• Measurable answer quality via evaluation suites
• Predictable token and inference costs
• Safe rollout with human-in-the-loop controls

Capabilities

• RAG pipelines and hybrid retrieval
• Multi-step agents, tool use and orchestration
• Evals, tracing, prompt and model versioning
• Guardrails, PII handling and red-teaming

Custom software & platform engineering

The dependable core: APIs, services, integrations and internal platforms designed to stay changeable as your business shifts.

What you get

• Services that scale without rewrites
• Integrations that survive vendor changes
• Documented architecture and decisions

Capabilities

• API and microservice architecture
• Event-driven and workflow systems
• Third-party and ERP/CRM integrations
• Internal tools and admin platforms

Data & AI infrastructure

Your models are only as good as the data behind them. We build the pipelines, stores and contracts that make AI features trustworthy.

What you get

• One reliable source of truth
• Data quality checks that fail loudly
• AI-ready datasets and embeddings

Capabilities

• Batch and streaming pipelines
• Warehouse and lakehouse modelling
• Vector stores and feature pipelines
• Data quality, lineage and governance

Cloud, DevOps & reliability

Automated delivery and operations so shipping is routine — infrastructure as code, continuous deployment and observability by default.

What you get

• Deployments measured in minutes
• Environments reproducible from code
• Clear signals before users notice problems

Capabilities

• Terraform and infrastructure as code
• CI/CD pipelines and release automation
• Observability, SLOs and on-call runbooks
• Cloud cost and performance optimisation

Legacy modernization

AI-assisted analysis of legacy code and data makes migration paths concrete, so modernization happens incrementally instead of as a risky rewrite.

What you get

• A migration plan with sequenced, reversible steps
• Behaviour preserved and proven by tests
• Lower run costs after cutover

Capabilities

• Codebase and dependency assessment
• Incremental strangler-pattern migration
• Database and platform re-hosting
• Test harnesses to lock in behaviour

Quality & test automation

Automated test suites, AI-generated coverage for gaps and pipelines that block regressions before review.

What you get

• Regressions caught in CI, not production
• Release confidence without manual cycles
• Coverage focused on business-critical paths

Capabilities

• Unit, integration and end-to-end automation
• AI-assisted test generation and maintenance
• Performance, load and accessibility testing
• Security scanning in the pipeline

AI enablement & advisory

For teams that want to build in-house: an honest assessment of where AI helps, a prioritised roadmap and hands-on enablement for your engineers.

What you get

• A shortlist of high-value use cases
• Tooling and governance standards agreed
• Your engineers productive with AI workflows

Capabilities

• AI opportunity assessment and roadmap
• Build-vs-buy and model selection
• Developer tooling rollout and standards
• Workshops, pairing and playbooks