Thirty-four years of solving business problems with technology.
We build, migrate, and govern the systems companies run on. Today that increasingly means AI systems, designed with the same engineering discipline we have applied to every generation of technology before it.
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1992
Manufacturing & engineering
Plant and machinery, industrial equipment, fabrics, and industrial chemicals.
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2020
Technology consulting
Commerce platforms, progressive and mobile apps, big data and cloud migrations at scale.
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Today
AI systems & agents
Agent architectures on managed cloud, built to be governed, tested, and audited.
Six practices, one engineering standard.
We work as a partner rather than a supplier. That means sitting inside the problem with your team, sharing what we know, and leaving your people more capable than we found them. Customer delight is the measure we hold ourselves to, and an always-ready-to-learn attitude is how we get there.
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01
AI systems & agents
A platform-agnostic control plane so your agents and data stay where they belong, governed identically wherever they run, with a testing and compliance layer that certifies them against policy on an ongoing basis, not once at launch.
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02
Business intelligence & analytics
Dashboards and reporting shaped around the decisions your teams actually make, not around the shape of the source data.
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03
Cloud & big data
Large-scale migrations and data transformation, with serverless and highly available architectures sized to real load.
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04
Applications
Progressive web and mobile applications, built for performance on the devices and networks your customers really use.
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05
Quality engineering
Distributed load testing and end-to-end automation, wired into the pipeline so quality is continuous rather than a phase.
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06
DevOps & delivery
CI/CD pipelines with monitoring and observability that make failures visible early and cheap to fix.
Agents that stay governed, wherever they run.
Build the control plane once, and every agent is governed the same way, whichever platform it runs on and whichever cloud it lives in. Nothing is retrofitted later, and nothing is locked to one vendor's roadmap.
We think the architecture behind an AI system matters more than which model you pick.
See how we build itBuilt on the AWS Well-Architected Framework.
Operational excellence, security, reliability, performance efficiency, cost optimisation, and sustainability are not a checklist we run at the end. They shape how we design from the first session, and they give you a consistent way to evaluate what we build.
- 01 Operational excellence Run and monitor systems so problems surface early and the team keeps improving how it works.
- 02 Security Protect data, systems, and assets with identity, encryption, and least-privilege access by default.
- 03 Reliability Recover from failure automatically, and scale to meet demand without manual intervention.
- 04 Performance efficiency Use computing resources to meet real requirements, and keep that efficient as demand changes.
- 05 Cost optimisation Deliver what the business needs at the lowest price point, with spend attributable per team.
- 06 Sustainability Reduce the energy and resources a workload consumes for the value it actually delivers.
If you have a system to build, migrate, or bring under control, we would like to hear about it.
Talk to us