Franciliane, SEDIF, and Samp are proud to be nominated for “AI Project of the Year”

Global Water Awards 2026: AI Project of the Year Nomination for SEDIF, Franciliane and Samp

The Global Water Awards are among the most prestigious recognitions in the international water industry, highlighting the initiatives and innovations shaping the future of water, wastewater, technology, and desalination.

The 2026 edition introduces a new category, “AI Project of the Year”, reflecting the growing impact of Artificial Intelligence across the industry.

This year, a project carried out in collaboration between SEDIF, Franciliane and Samp has been nominated in this category.

The awards ceremony will take place on May 19, 2026, at La Quinta de Jarama, as part of the Global Water Summit.

Project name


AI-Driven Asset Management for France’s Largest Drinking Water Infrastructure

Scope of the project

The project covers all drinking water production facilities operated for SEDIF, supplying over 4 million people and producing an average of 750,000 m³ of drinking water per day.

Vote for the AI Project of the Year 2026​

Vote for SEDIF, Franciliane and Samp project as AI Project of the Year 2026 at https://lnkd.in/e6NUU2-B

The 2026 Global Water Summit is in Madrid this year, where the water sector’s leaders will be poring over many of the topics from the documentary. Get your tickets here.

More to explore

Automated Spatial Tagging

Through automated spatial tagging—powered by in-scan Optical Character Recognition (OCR) embedded within Shared Reality and its Assetizer AI engine—operators can now extract physical label data directly from 360° panoramic imagery embedded in 3D scans. By anchoring physical plant labels directly to CMMS tags and 3D geometries without requiring an existing, validated P&ID as an intermediary, industrial operators can rapidly turn monolithic scans into interactive digital twins, streamline turnaround (TAR) preparations, and unlock comprehensive line-by-line P&ID validation via automated pipe crawling.

A Reality-Based Evolution for RBI and Process Safety Management

In brownfield refining, petrochemical, chemical, and offshore processing facilities, maintaining dedicated “inspection isometrics” represents one of the most resource-draining, error-prone overheads in Asset Integrity Management (AIM). For decades, plant operators have treated 2D Computer-Aided Design (CAD) piping isometric drawings as the mandatory medium for mapping Condition Monitoring Locations (CMLs), defining corrosion loops, and executing Risk-Based Inspection (RBI) workflows under API 570 and API 580/581.

Webinar: Automated Spatial Tagging

Discover how Shared Reality helps you visually isolate piping circuits and corrosion loops instantly, bridging the gap between engineering data and field execution.

Scroll to Top
Logo Samp