Intelligence for Europe's critical industries.
Different sectors. Different operational data. One governed intelligence foundation — the same loop from incoming data to a measured outcome, with the nouns of your domain.
One platform, one operational ontology per sector
Sector-specific AI usually means sector-specific software: a congestion tool for grid operators, a claims tool for insurers, a correlation tool for infrastructure. Each one arrives with its own data model, its own integrations, and its own governance story to negotiate.
NeuroCluster inverts that. The platform is one system, and what changes per sector is the ontology — the operational objects a domain actually reasons about. A grid operator models Assets, Substations, and Constraints; a terminal operator models Vehicles, Shipments, and Disruptions. Above that, the loop is identical: incoming data, operational ontology, AI intelligence, a recommendation, a named human with authority, a controlled action, and a measured outcome.
That is why these pages read as variations rather than separate products. The machine is the same; the language is yours.
Sectors with a dedicated page
Energy & grid operations
Congestion forecasting, asset health, and dynamic line rating on SCADA, GIS, SAP, and inspection data — with the grid planner approving what reaches the maintenance system.
Critical infrastructure & resilience
OT telemetry and IT security events correlated against a dependency model, so containment decisions and NIS2 reporting evidence come from the same record.
Industrial & manufacturing
MES, ERP, and machine telemetry as one production context: bottleneck detection, quality drift, remaining useful life, and energy per unit produced.
Telecommunications
OSS, BSS, and network telemetry as one topology, so an alarm storm collapses into a diagnosis and a single field dispatch.
Transport & logistics
Position, timetable, and cargo data as a live network model, so disruption is absorbed by plan rather than improvisation.
Financial services
Governed KYC review and DORA operational-resilience evidence, recorded as controlled operations by accountable staff.
Insurance
Claims intake and triage where the exception reaches the right handler with the evidence already assembled.
Government & public sector
Case triage, permitting throughput, and policy evidence on infrastructure a public body can account for.
Healthcare
Operational and administrative AI for hospitals inside an Article 9 boundary a DPO can approve. No clinical diagnosis.
Sectors we work in without a dedicated page yet
The same loop is deployed in defence and civil protection (readiness, sustainment, and crisis coordination — never targeting or autonomous use of force), climate and water management (flood risk, drought monitoring, and adaptation planning, always published with a confidence range), and research and science (dataset discovery, reproducible pipelines, and model evaluation). The industries atlas on the homepage covers each one in detail, and the use case library shows what has been built.
Browse all use cases