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InfoTiles AS (Stavanger, Norway)

InfoTiles

Norwegian cloud platform that automatically links and corrects the network data of drinking water and sewer operators, so you spot leaks, inflow and infiltration and overflow risks sooner.

Shared spot1of 13 professional tools with a GDPR profileOur summary of what the provider itself publishes about your data: whether the data is held in the EU (2 points), whether there is a certification or GDPR guarantee (1) and whether the provider is established in the NL or the EU (1). 3 or 4 points is Strong, 2 Good, 1 Limited, 0 Unknown. How we measure in water management
GDPR: Strong
  • Provider based in the EU
  • Data in the EU according to the provider

Each tile is a professional tool in water management, with the strongest GDPR profile on the left. 2 professional tools have a strong profile like InfoTiles: they share this spot. Click through for that tool.

Priceon request
Free trialNone foundNot found on the provider's site when checked on 6 November 2026
Based inStavanger, NorwayEU
ModelNot disclosedno language model named; proprietary machine learning and AI algorithms for data correction and network analysis. Customer data is held only in Microsoft Azure, in data centres in Norway, the Netherlands, Ireland and London (according to the provider). Certification not published. Norwegian company (EEA, not EU).

Last checked: 6 November 2026 · How we check

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What it does

PipeFusion: cleaning and validating network data
WaterIntelligence: detecting leaks per DMA
SewerIntelligence: tackling inflow and infiltration
Predicting and reducing overflows
Connects SCADA, IoT and legacy systems
No-code dashboards and data queries
Monitoring per device, group or zone

Comparable in water management

All 13 professional tools for water management

InfoTiles compared

Underlying model

no language model named; proprietary machine learning and AI algorithms for data correction and network analysis. Customer data is held only in Microsoft Azure, in data centres in Norway, the Netherlands, Ireland and London (according to the provider). Certification not published. Norwegian company (EEA, not EU). Many tools build on a large model from OpenAI or Anthropic, for example. If in doubt, ask for the data processing agreement: it states where your data goes.

GDPR check for water management

Questions about InfoTiles

Which AI model does InfoTiles use?
The maker of Microsoft does not disclose which AI model sits underneath. No language model named; proprietary machine learning and AI algorithms for data correction and network analysis. Customer data is held only in InfoTiles Azure, in data centres in Norway, the Netherlands, Ireland and London (according to the provider). Certification not published. Norwegian company (EEA, not EU).
How much does InfoTiles cost?
on request. Check the current price on the provider's website; rates change often.
Who is InfoTiles for?
InfoTiles is aimed at water management. It fits work such as leak detection and water loss: spotting deviations in pressure, flow and sound across the pipe network, forecasting rainfall, water levels, drought and flow to pumping stations and treatment plants, and assets and treatment: predicting pump faults and steering 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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