Industries

The common thread

Generic technology suppliers are built for the average business: office productivity, marketing sites, sales pipelines. Yours is not that business. Its technology touches physical operations, where a wrong decision is not an inconvenience but an outage, a compliance breach or a safety event. Its data lives in historians, SCADA systems and thirty years of engineering documents, not in a tidy CRM. Its workforce holds deep specialist knowledge and has earned the right to be sceptical of software that does not understand its world.

Those conditions defeat the standard playbook, which is why organisations like yours are so often either underserved or oversold. They are also precisely the conditions our approach was built for: problem-first, evidence-gated, adoption-conscious and accountable past launch.

Where we concentrate

Energy, clean energy and nuclear

Generation, storage, grid and nuclear operations, where safety cases, asset condition and regulatory evidence shape every decision, and where the energy transition is multiplying both the data available and the decisions it must support.

Engineering and advanced manufacturing

Design and production environments where quality, traceability and hard-won process knowledge decide competitiveness, and where the knowledge that matters most often sits with a generation of specialists approaching retirement.

Infrastructure and utilities

Networks and services whose assets are old, distributed and essential, whose data rarely agrees with itself across systems, and whose regulators expect evidence that the operation itself sometimes struggles to assemble.

Environmental and regulated services

Operations built around monitoring, reporting and compliance, where evidence is the product as much as the service, and where the reporting burden consumes exactly the experts the operation can least spare.

Other complex industrial operations

Any operation combining physical assets, specialist knowledge and consequential decisions, whatever the sector label says. The fit is the operating conditions, not the SIC code.

The patterns these environments share

Across these environments, the same problems recur reliably enough to serve as a checklist:

• Critical data trapped in historians, spreadsheets and systems that predate most of the team, fragmented enough that assembling one honest view of the operation is itself a project.
• Decisions about expensive physical assets made late or blind because the evidence exists but cannot be reached in time.
• Compliance and reporting effort consuming the specialists whose judgement the operation actually runs on.
• Deep knowledge held in people and paper, walking towards retirement with no system able to receive it.
• Board-level pressure to adopt AI, colliding with a workforce and a regulator who will both, rightly, demand that it be trustworthy before it is clever.

If several of these describe your operation, our direction and diagnosis work exists to find which one is worth solving first, and our delivery work exists to solve it dependably. And when what you need first is proof rather than a programme, the Evidence Sprint spends ten days measuring the workflow you choose and hands you the evidence.

A note on proof

We would rather understand your operation deeply than claim every sector loudly. Where we have relevant work to show, we will show it with its limits stated; where we do not, we say so, and the fastest honest test of the fit is a conversation about your actual operation rather than a slide about our sector experience.