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Sector
The sectors without a page of their own.
Our industry pages reflect where we already carry domain context. They are not the limit of what we build — where a problem is well defined and the data exists, the sector is rarely the obstacle.
01 / Also
Where else we work.
Each of these draws on capabilities we have built repeatedly elsewhere. What differs is the domain context, and we will be candid about how much of it we start with.
Logistics & warehousing
Slotting, pick-path optimisation, dock scheduling and dimension capture. Shares most of its methods with our supply chain and transportation work.
Energy & utilities
Load forecasting, loss detection, asset condition monitoring and outage prediction across generation and distribution networks.
Legal & professional services
Contract review support, clause extraction, obligation tracking and document retrieval — always with the professional judgement staying human.
Hospitality & travel
Demand forecasting, dynamic pricing support, review analysis and operational staffing models.
Public sector & non-profit
Service demand forecasting, document processing and programme analytics, with a higher bar on transparency and a lower tolerance for opaque decisioning.
Construction & infrastructure
Progress monitoring from imagery, safety compliance detection, materials forecasting and schedule risk analysis.
02 / Being honest about it
What it means when we don't know your sector.
Domain context is genuinely valuable, and claiming it where we do not have it would be the kind of thing this site spends a lot of words arguing against.
What it means practically is that the diagnostic phase is longer. We spend more time with the people who run the process, more time understanding how the data came to be recorded the way it is, and we lean harder on your team for the judgement calls about which errors are survivable.
The engineering discipline does not change. Neither does our willingness to tell you that the answer is a better form, a scheduled report, or nothing at all.
Next step
Your sector isn't the deciding factor.
A well-defined problem, data that exists, and someone internally who owns the outcome matter considerably more. If you have those three, the conversation is worth having.