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GUTERMANN AG (Baar, Switzerland)ZONESCAN
Network of correlating acoustic loggers from Gutermann for continuous leak monitoring; the ZONESCAN AI logger gives a leak probability per measurement.
- Provider based outside the EU
- Publishes certification/GDPR safeguards
Last checked: 5 November 2026 · How we check
Is this your tool? Fill in missing detailsWhat it does
Automatic daily correlation
Cloud software ZONESCAN NET with maps
Import your own GIS pipe dataData transmission via NB-IoTComparable in water management
InfoTileson request
SIWA Leak Finderon request
QatiumQ-one and Q-plus per month on the p…
Aquasuiteon request
WISKIon request
HULOEssential €29,000/year (500 km ne…ZONESCAN compared
no language model; the AI Predictor is trained on a proprietary database of manually classified leak sounds and runs in the cloud (ZONESCAN NET), loggers send data via NB-IoT. Data on servers of hosting partners in the EU or the US; ISO 27001 still pending ("pending") and penetration test carried out (according to datasheet April 2025). Swiss company with offices in Germany. Many tools are built on a large model from, for example, OpenAI or Anthropic. If in doubt, ask for the data processing agreement: it states where your data goes.
Questions about ZONESCAN
- Which AI model does ZONESCAN use?
- The maker of ZONESCAN does not disclose which AI model sits underneath. No language model; the AI Predictor is trained on a proprietary database of manually classified leak sounds and runs in the cloud (ZONESCAN NET), loggers send data via NB-IoT. Data on servers of hosting partners in the EU or the US; ISO 27001 still pending ("pending") and penetration test carried out (according to datasheet April 2025). Swiss company with offices in Germany.
- How much does ZONESCAN cost?
- on request. Check the current price on the provider's website; rates change often.
- Who is ZONESCAN for?
- ZONESCAN is aimed at water management. It fits work such as leak detection and water loss: spotting anomalies in pressure, flow and sound in the pipe network; forecasting rainfall, water levels, drought and flow to pumping stations and treatment plants; assets and treatment: predicting pump faults and adjusting processes with AI settings.
- What should I look out for with AI in water management?
- Water management is critical infrastructure: water boards and drinking water companies fall under the NIS2 rules (in the Netherlands, the Cyber Security Act), and an AI system that runs as a safety component in water management may count as high risk under the AI Act. So ask about certification, data storage and who keeps control during an outage. HULO is ISO 27001 certified, holds the SC30 NIS2 mark, stores data in the client's region and does not train on client data. TaKaDu (Spain) is ISO 27001 certified. KISTERS WISKI can run on-premise. With many other providers, such as Qatium, Siemens and FIDO Tech, the hosting location is not publicly stated: record it in the data processing agreement. Personal data mainly sits in consumption data from smart water meters; keep it separate from network data where possible.
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