Automotive, process, discrete, heavy industry, energy. Where every percentage point of yield, OEE, and throughput matters — and where the gap between the data the floor generates and the decisions the executive committee can act on is the longest in any sector.
Manufacturing was generating telemetry before "data" became a buzzword. The problem was never collection; it was connection. The leap is making operational data legible to the people who set strategy — so a CEO can ask a question of the company and get the same answer from the boardroom that the line manager gets from the floor. AI accelerates the loop; the substrate determines whether the loop closes at all.
Failure-mode modelling, asset health scoring, maintenance scheduling shifted from time-based to condition-based.
Vision-based defect detection, parameter optimisation, root-cause analysis with provenance.
Demand sensing, multi-tier visibility, anomaly detection, scenario planning under uncertainty.
Lakehouse architecture that connects ERP, MES, SCADA, and IoT into a single legible picture.
Plant-level and product-level twins, calibrated against operational reality.
Engineering copilots, knowledge retrieval over decades of equipment documentation, captured expertise that survives retirements.
ISO 9001, IATF 16949, ISO 14001, ISO 45001, sector-specific regimes (pharma GMP, food HACCP, etc.), and the data residency / sovereignty requirements of wherever the plant runs.
Every engagement starts with a 90-minute Leap Assessment — a working session with our partners, no retainer, no commitment. We leave you with a sharper sense of where the advantage sits in your specific context.
