Data & AI
Data and AI applied where it returns value, built on foundations the operation can trust, and matched to your actual maturity.
For COOs, GMs of operations, heads of asset management and CIOs at operators in mining, energy, oil and gas, marine and defence.
In heavy industry, AI only pays when it reaches the operation, and it only reaches the operation if the foundations can carry it. Pilots do not move the numbers; production does. We meet the business at its actual maturity, build the data foundations first when that is the truth, and put AI to work where it earns its keep: planning, maintenance, readiness, reporting.
Technology in heavy industry exists to do four things.
Every piece of work we take on has to pull at least one of these levers. If it does not, we will tell you not to buy it.
Increase value
More product shipped, more uptime, faster turnarounds. New products and new revenue built from what your people already know. Technology that grows the business, not the backlog.
Reduce expense
Technology put to work on the cost base: maintenance optimised to cut downtime, AI agents that remove manual effort, sensors that catch failures before they stop production.
Control risk
Fewer surprises: safety and compliance evidenced, cyber exposure closed down, and programs governed so the business hears about problems early, while they are still cheap to fix.
Protect assets
Assets that run for decades, kept fit for purpose: maintenance planned rather than reactive, asset data you can trust, and systems that outlast the people who built them.
Four stages of maturity. Every one is a legitimate entry point.
Each stage pays for the next. No leapfrogging to agents on top of data the plant does not trust. Select a stage to see the work that serves it.
Data foundations & architecture
Heavy industry runs on a complex estate: operational technology on site, enterprise systems in the business, edge computing between them, and a multitude of applications serving different functions and use cases. We design the data architecture that brings this together, shaped by operational experience of how data needs to support business functions, organisational processes and the value chain end to end.
AI strategy & maturity roadmap
An assessment of where the organisation sits on the AI maturity curve, and what that makes possible now. We review data readiness, skills and existing systems, identify the use cases with a measurable return, and sequence them into a roadmap matched to your maturity, so capital is committed carefully, in the right order, against a plan you can measure.
Digital value chain for heavy industry
A product line we are developing for heavy industry: connected, intelligent capability across the value chain, beginning with our asset-lifecycle platform. It draws on our ongoing research into AI architectures for complex industrial data ecosystems, with new agentic functions added as they mature. For clients, it is a practical route to emerging technology, grounded in current research and applied to their operation.
Applied AI: pilot to production
Moving AI from pilot into everyday operation. We help train and deploy models on your data, and build machine learning tools for specific use cases where our experience adds value: asset management, supply chain, and other operational disciplines in heavy industry. Our objective is to use that experience to deploy models we know can succeed and give you a return on investment.
AI governance, risk & responsible AI
The governance that lets AI be used with confidence. We put model risk, data governance and human oversight in place from the start, aligned with the regulatory obligations of your industry, and build the assurance evidence alongside the system itself, so AI meets the standards of the business, the insurer and the regulator, and can be extended as the need grows.
