AI & Cloud Engineering · Est. 2013 · United Kingdom
We design systems that age well.
An AI-native engineering consultancy. We architect for GCP, AWS, and Azure, put AI agents into production, and build software that holds up long after the hype cycle moves on.
Every engagement runs on Amzu Intelligence — the same class of AI systems we build for clients, working alongside our engineers.
We engineer with
§01 — Failure modes
Systems fail in predictable ways.
Fragility
Each new feature costs more than the last. Architecture that fit at ten engineers breaks quietly at forty.
Fear
Deploys become events. Teams slow down not because the work is hard, but because nobody trusts the system.
Opacity
The cloud bill grows faster than revenue, and nobody can explain why with a straight face.
Calm engineering for high-stakes teams.
- Clarity before complexity — we map your system before we touch it
- No big bangs — phased change with rollback plans, not rewrites
- Operations that stay out of your way — SLOs, runbooks, auto-remediation
- Decisions you can defend later — every choice logged with its tradeoffs
§02 — Capabilities
The engineering behind the promises.
AI Engineering
Agents, RAG pipelines, and fine-tuned models that survive contact with production. Multi-agent orchestration with human-in-the-loop controls.
Cloud Architecture
GCP, AWS, and Azure. Infrastructure as code, serverless where it pays, Kubernetes where it counts.
Platform & Delivery
Pipelines, feature flags, progressive rollout. Deploys boring enough to run on a Friday afternoon.
AI Security & Governance
Model audits, data boundaries, compliance evidence. AI you can put in front of a regulator.
§03 — Amzu Intelligence
We run on the systems we sell.
Amzu Intelligence is our own AI delivery layer — agents that map client systems, draft options papers, keep documentation current, and watch for cost drift. Our engineers work alongside it on every engagement. When we recommend an AI architecture, it's one we already operate ourselves.
Powered by Amzu Intelligence
- Speeds up discovery and system mapping
- Improves options papers and tradeoffs
- Keeps documentation useful over time
- Reduces alert noise by spotting patterns
- Strengthens cost forecasting with scenarios
Human judgement stays accountable. The AI helps us see faster, not decide blindly.
§04 — Outcomes
What we help with
Outcomes, not just output.
§05 — Process
How we work
Every engagement produces decision logs and living documentation — knowledge that outlives the engagement.
Cloud and security architecture reviewed against real constraints — cost, compliance, team size.
Testing that protects releases, not vanity coverage numbers.
Cost models that hold up in front of the board.
§06 — What we believe