Building AI systemsComing soon
AIengineered for enterprise scale and trust.
From generative AI to agents and private LLMs, we build the secure, governed platforms that take AI from pilot to production across your business.
Cloud, platform, AI and security, delivered as one team.
AI Engineering
Stalled AI projects get stuck on the same questions: who may see what, where data sits, how you would spot a quality drop, and what it costs at scale.
Cloud & Infrastructure
Moving to cloud, off VMware, or taking control of an estate that grew without a plan: we design it, move it, and leave your team able to run it.
Platform Engineering
Most teams can deploy. Fewer can roll back at 2am or rebuild the environment from scratch. We close that gap and hand it over.
Software Engineering
We design and build web, API and cloud-native software with the architecture written down, tests in the pipeline, and a handover so your team can own it.
Application Modernization
Lifting an application into the cloud unchanged usually makes it costlier, not better. We work out which applications repay real change, and which should be left alone.
Cybersecurity
An auditor asks for evidence, not policy. We find what is actually exposed and write it up so an engineer can reproduce it and a board can understand it.
Managed Services & FinOps
Running an estate is a different job from building one. We take the rota, patching, restore tests and cost work, or train your team to and step back.
Technologies we work with
- AWS
- Azure
- Google Cloud
- Kubernetes
- Terraform
- Docker
- GitHub Actions
- GitLab
- Jenkins
- Argo CD
- Prometheus
- Grafana
- OpenTelemetry
- HashiCorp Vault
- Anthropic
- OpenAI
- Zoho
- Okta
- Kafka
- Proxmox
- VMware
- XCP-ng
- Red Hat
- Keycloak
Sectors where an outage is a reportable event
Industries we work in- Financial services
- Telecommunications
- Healthcare
- Energy
- Public sector
- Technology
Insights for technology leaders.
Practical perspectives on cloud, platform, security and AI engineering.
Cloud & platformComing soon
What a landing zone should decide for you
Security & complianceComing soon
Building audit evidence into delivery, not after it
ModernizationComing soon
Moving legacy applications forward without a big-bang rewrite
A proven delivery model, from assessment to handover.
01
Assess
Understand your estate
We map what you run, how it is used and where the risk sits, using tooling rather than assumptions.
Assessment report02
Design
Agree the architecture
Architecture and every significant decision documented with its trade-offs, so scope and cost are clear before build.
Decision record03
Build
Deliver in increments
Two-week increments, each ending in something you can review, with code in your repository as we write it.
Working releases04
Operate
Run it or hand it over
We run it under an SLA, or your team takes it with runbooks and recorded knowledge transfer.
Runbooks and SLALet's build what's next, together.
Talk to the team that would do the work. In forty-five minutes we will agree where to start, or tell you plainly if we are not the right fit.