Engineering organisations hold immense knowledge in documents and veteran heads, while their assets stream data nobody fully uses. We close both gaps: knowledge AI for the documents, analytics and agents for the operations.
Sensor / IoT analytics, failure prediction, remaining-useful-life models, maintenance scheduling optimisation — integrated with your EAM / CMMS.
RAG over manuals, standards, specifications, drawings and past project records; instant, cited answers for engineers in the field and the office. On-prem deployable for IP-sensitive estates.
Vision AI for defect detection, automated inspection reporting, root-cause analytics tying quality events back to process parameters.
Plant / asset performance twins, throughput and energy optimisation, incident automation and field-service triage agents.
Schedule and cost risk analytics for capital projects, document / RFI intelligence, contract and claims analysis — earlier warnings, fewer surprises.
Energy-sector incident automation, monitoring-network O&M analytics (hydrology / telemetry-class networks), and industrial data platform builds.
