
Industries
Where being wrong has consequences.
The same capability set, expressed in each sector's own language. Engagements typically begin with one line from this list rather than a sector-wide programme.

Discrete and precision manufacturing
Genealogy and traceability, yield and scrap recovery, claim evidence, true cost per part. Quality and test results held against part, batch and revision so they become prediction instead of a filed pass record.
Automotive and mobility supply
Traceability across tiers, supplier PPM, warranty defence, and a genuine 360 view for the OEM relationship. Field failures traced back to input lot, process conditions and design revision.
Process and continuous manufacturing
Material recovery, batch quality, asset condition and multi-site comparison on identical definitions. Process parameters correlated against downstream quality, turning records into prevention.
Energy, utilities and equipment
Asset performance with reasons attached, condition-based maintenance, outage cost, and capital programme control while projects are live rather than after they close.
Commodity trading and agri-processing
Position, exposure and margin joined into one live picture across contract, counterparty and destination. Origin traceability and counterparty risk on evidence instead of assertion.
Transport and infrastructure
Non-core revenue yield, concession assurance, asset spend against condition, and detection with a ground coordinate across a dispersed estate.
Logistics and shipping
Movement visibility, chain of custody, and true cost to serve per route and customer. Promise integrity surfaced while there is still time to act on it.
Banking and financial services
Long-horizon retrieval without retaining the legacy system, a unified customer view across retail and corporate, and regulatory evidence assembled from governed data rather than rebuilt each cycle.
Insurance
Claims analytics, policyholder 360, leakage and fraud signal, and provisioning informed by actual history instead of a standard percentage.
Healthcare and life sciences
Record retrieval, quality and validation evidence, cost of care, and claim reconciliation — with patient data staying inside the institution as a condition of use.
Public sector and national programmes
Cross-agency consolidation without a central migration, citizen and entity resolution with an auditable matching rule, sovereign or air-gapped deployment, and a full record of who queried what under which policy.
Professional and asset-heavy services
Utilisation, project margin and document intelligence. Routine matter progression prepared by agents; substantive decisions kept with people.
The common thread is not the industry. It is that a question spans several systems, the answer has to be defensible, and the data cannot go wherever it likes.
A common starting point
Migration assurance.
Whether the programme moves an ERP, a core banking or policy platform, a CRM estate or a mainframe workload, they share one demanding and poorly automated task: proving the target equals the source.
Is your sector not listed?
That is fine — the platforms are general purpose. Tell us the question and we will tell you whether it is answerable from what you hold.
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