The fibre becomes the sensor.

Fibre optic cables act as distributed sensors along the entire route. DAS captures vibrations and acoustic signals continuously, without additional hardware in the ground.

Landmarker's algorithms analyse raw sensor data in real time and distinguish mechanical excavation from background noise such as traffic and weather. The result is operational intelligence, not raw data.

Landmarker uses Mistral AI, the French, European alternative to American cloud models. Incident logs, deviation reports and NIS2 documentation are generated automatically from sensor data.

Mistral is built for the public sector and regulated industries. Data sovereignty is core: data never crosses European borders, and the models can run in isolated environments without external network access.

GPS positioning from construction machines provides the basis for three things: As-Built registration while the trench is open, real-time overview of all activity in the infrastructure map, and alerting machines in exclusion zones.

Position data flows automatically into the Landmarker portal. No manual measurements. No after-the-fact documentation.

• As Built is generated from the machine's actual position
• Real-time overview shows all activity near critical infrastructure
• The machine is alerted and stopped automatically in exclusion zones

Landmarker builds on established infrastructure and European suppliers. DAS hardware from established manufacturers. AI from Mistral. Map data from Geodata Online. Data centres in Norway and Germany.

What no one can copy is the algorithms, the methodology and the network: 4,000+ infrastructure owners, MEF agreement with 2,400 contractors, and jarð as a coordination tool for Norwegian municipalities.