WHAT WE DO
Enterprise AI, engineered to be trusted
We advise, build and run the platforms your business depends on — on AWS, Microsoft Azure and Google Cloud — and bring AI into them with Claude and the models you choose, governed from day one.
Our view
AI is only as trustworthy as the platform under it
Enterprise AI fails less often on the model than on everything around it: the cloud foundations, the data, the controls and the people who run it. We work on all five layers, with one accountable senior team, so what reaches production is something your auditors, customers and engineers can live with.
Five layers
Five layers of enterprise AI
Cloud foundations
Landing zones, identity, networking and cost control on AWS, Microsoft Azure and Google Cloud, so every workload starts on governed ground in your own accounts and region.
CloudData and knowledge
Governed data platforms and knowledge stores with lineage and access rules, so AI answers from the same trusted numbers your teams use.
Data & analyticsModels and governance
Claude and the other models you choose, run where your data lives, evaluated before go-live and governed against the frameworks you answer to.
AI governanceAgents and applications
Agents and applications that do real work inside your systems, with a person approving what matters and every step logged.
Agentic automationIntelligence in operations
Monitoring, cost control and change management for AI in production, run by us or handed over to your team with runbooks.
Managed operations
Pillars
Four ways we help
Consulting
Technology, architecture, cloud and AI decisions, made before anything is built.
Cloud
Design, migrate and operate secure platforms on AWS, Microsoft Azure and Google Cloud.
Applied AI
Governed AI in production, with a dedicated Claude practice.
Engineering & data
Core software, data platforms, delivery pipelines and security.
Principles
How we build AI you can stand behind
Evaluated before go-live
Acceptance tests and thresholds are agreed before build, and nothing ships until it passes them.
A person approves what matters
Consequential actions wait for a named reviewer; agents never act alone on them.
Every step logged
Inputs, model versions, decisions and approvals are recorded in your environment.
Your data stays yours
We do not use client data to train or fine-tune models, unless a client asks us to in writing for their own dedicated model.
Industries