Work
Detailed case studies with named clients, metrics and outcomes will be published here as client approvals come through. Below are the kinds of problem we are built to solve.
Engineering work is usually done under NDA, so published case studies need client sign-off. If you would like to speak to a reference in your sector, ask us directly and we will tell you honestly what we can arrange.
Request a reference callExample problems we are built to solve
Illustrative scenarios — not client case studies. Each describes a typical problem and how we would approach it.
Start with a short assessment of the stack configuration, integration state and test coverage, agree a stabilisation plan, and put a HIL regression suite in place so progress is measurable again.
Keep retrieval and extraction inside the client’s own cloud tenancy, and agree an evaluation set and acceptance threshold with the business before development starts.
Put a clean API layer in front of the existing system, ship the app against it incrementally, and retire legacy screens one at a time rather than in a big-bang rewrite.
Rebuild the landing zone, introduce a tagging model per product team, rightsize the obvious waste, and make cost visible in the same dashboards engineers already use.
Standardise collection over OPC UA at the edge, stream it into a small data platform, and build the OEE and downtime views plant managers actually ask for.
Run a gap assessment, prioritise controls by risk, and produce policies, runbooks and evidence alongside the technical fixes rather than after them.
Describe it in a sentence or two. We will tell you how we would approach it — and if it is outside what we do well, we will say that too.
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