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InfoTiles

InfoTiles offers PipeFusion, a cloud-based data analytics engine that automates the cleansing and validation of water network data to achieve over 99% accuracy. This technology enables utilities to optimize operational efficiency and reduce costs by providing real-time insights into water infrastructure management, including leak detection and predictive maintenance.

Stavanger, NorwayFounded 2016142K+ followers
Updated 4 months ago

Funding

$3.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

Water and wastewater utilities often struggle with inaccurate or incomplete network data, leading to inefficiencies in operations, increased costs, and difficulty in making informed decisions. Siloed data and manual collection methods further exacerbate these challenges, hindering the ability to gain a comprehensive overview of network conditions.

Solution

InfoTiles offers PipeFusion, a cloud-based data and analytics engine that leverages AI and machine learning to automate the cleansing, validation, and correction of water and wastewater network data. PipeFusion connects to various data sources, including SCADA and IoT devices, to ensure real-time data integration and correction. By achieving over 99% data accuracy, PipeFusion enables utilities to optimize operational efficiency, reduce non-revenue water, and facilitate predictive maintenance. The platform provides a reliable source of truth for monitoring and modeling network asset data, empowering water managers to make data-driven decisions and improve the sustainability of water infrastructure.

Target Audience

InfoTiles targets water and wastewater utilities seeking to improve operational efficiency, reduce costs, and enhance the sustainability of their water infrastructure through data-driven decision-making.

Features

  • Automated data cleansing, validation, and correction using AI and machine learning
  • Real-time data integration from SCADA systems and IoT devices
  • Universal data importer supporting common formats like CSV, Shapefile, and GeoJSON
  • Identification and correction of data anomalies, including missing connections and incorrect flow directions
  • Tools for verifying and updating logical zones, such as DMAs and pressure zones
  • Visual dashboard builder for creating and maintaining maps, charts, and models
  • No-code data query for easy monitoring and reporting on water data trends
  • Secure cloud deployment with rapid setup and integration with existing systems
This profile is AI-generated and may contain inaccuracies.