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.
Networking & IT Infrastructure
We design, deploy and support the networks, servers and IT services your business runs on, vendor-neutral, with engineers experienced in Cisco, Fortinet, MikroTik, pfSense and SIEM.
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
We find what is actually exposed, build security into your delivery pipeline with DevSecOps, 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.
Outsourcing & Dedicated Teams
Dedicated teams, individual engineers and whole projects delivered by KanoSystems, working in your tools and your rhythm, with a clear route to bring the work in-house.
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
- Cisco
- Fortinet
- MikroTik
- pfSense
Industries we work in
All industries- 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.
Assess
Understand your estate
We map what you run, how it is used and where the risk sits, using tooling rather than assumptions.
Assessment reportDesign
Agree the architecture
Architecture and every significant decision documented with its trade-offs, so scope and cost are clear before build.
Decision recordBuild
Deliver in increments
Two-week increments, each ending in something you can review, with code in your repository as we write it.
Working releasesOperate
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.