NORSIKT provides AI‑generated predictive maps that visualize underground utilities, tunnels, and foundations, even when source data is incomplete.
Funding
Funding not disclosed
Founders
Product
Problem
Urban planners, emergency responders, and defence operators often lack reliable information about underground infrastructure, especially in dense cities where data is fragmented or inaccessible. This uncertainty increases operational risk during construction, crisis management, and tactical missions.
Solution
Norsikt delivers AI‑generated predictive maps that visualize subsurface assets such as utilities, tunnels, and foundations, even when source data is incomplete. The platform ingests heterogeneous geospatial and sensor inputs, applies machine‑learning models to infer likely underground structures, and produces operational‑readiness visualisations. Integrated command‑and‑control (C2) tools enable users to assess risk, run scenario simulations, and prioritize actions directly within the map interface. By presenting inferred infrastructure in a clear, GIS‑compatible format, Norsikt supports safer decision‑making for both civilian projects and defence operations.
Target Audience
Primary users are municipal planners, infrastructure project managers, emergency management agencies, and defence operators who require actionable insight into hidden underground assets during planning and response activities.
Features
- AI inference engine that fuses limited geospatial, cadastral, and sensor data to predict underground utilities and structures
- Interactive risk‑layer visualisations that highlight potential conflicts and hazard zones
- Built‑in C2 decision‑support module for scenario planning, asset prioritisation, and real‑time collaboration
- Export of predictive maps to standard GIS formats (e.g., GeoJSON, shapefile) for integration with existing workflows
- Secure cloud processing with role‑based access controls to protect sensitive infrastructure data
- Automated confidence scoring for each inferred asset to guide verification efforts