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Hadrian, an Amsterdam security start-up, sells a cloud platform that continuously discovers an organisation's internet-facing systems, tests them for exploitable weaknesses the way an attacker would, and ranks the findings by likelihood of exploitation and impact. SHV Energy's Group Information Security team at its Hoofddorp head office runs it across the group's businesses worldwide: SHV Energy's Sustainability Report 2023 says 'we implemented an AI machine learning system that continuously monitors our global external attack surface for new risks', and SHV's April 2024 story describes 'an innovative Dutch start-up' whose AI-powered system does this. SHV's own texts do not name the vendor; Hadrian's case study names SHV Energy and quotes its Group Information Security & Risk Officer. The tool covers SHV's IT systems, not energy operations.

SHV, the Dutch family company whose group includes SHV Energy (LPG and bioLPG, headquartered in Hoofddorp), says it uses Microsoft Copilot agents across the SHV Family of Companies. Its SHV AI Academy trains staff to build their own agents: people new to Copilot first take a basic Copilot Chat course, then an Agentic AI training; the advanced training asks for experience with Copilot agents and a paid Copilot licence. The page names no specific agents or use cases and does not say which group companies take part. Read 2 November 2026.

Heat-network company Ennatuurlijk uses, in its customer service, a system that automatically converts telephone conversations into text and summaries with artificial intelligence, to help agents serve customers faster and better. Its privacy and cookie statement says customers' personal data are not used to train the AI model and that agents check the summaries manually. The statement does not name the vendor, the speech or language model, or where the data are processed. Customers are callers about district-heating connections, bills and outages.

TenneT uses a robot dog at its Wateringen high-voltage substation for autonomous inspection rounds: a 3D model of the station was uploaded to 'Sparky', which carries out 37 inspection missions on its own, from visual checks of meters and disconnectors to the perimeter fence. In a June 2024 interview TenneT said it was looking at extending this to its 350 substations in the Netherlands, alongside camera drones for checking rust, cracks and paint on some of its 13,298 pylons (270 in 2024) and IoT sensors for near-real-time asset monitoring. Inspectors review the findings. The interview does not name the robot's manufacturer or say whether image analysis uses AI.

NeVo (netvoorspellingen) is an Enexis team and tool that makes forecasts about the electricity grid: based on sensor data it calculates scenarios, for example where overloading may occur in future. Enexis uses the tool to justify its investment plans. A developer on the team was nominated for a Computable Award (IT talent) in June 2023 for building it. The source does not say whether the scenarios use machine learning; planners use the output, and investment decisions remain with Enexis staff.

Falcker (Delft, founded in the Rotterdam port) offers a tank inspection and maintenance platform with Site Explorer, Condition Monitoring and Life Cycle Planner modules, fed by drone and drone-in-box imagery. Cameras take 360-degree photos on which material degradation, gas emissions, insulation temperature and deformation are recognised, and Falcker markets 'production-ready' AI detection models for fire or smoke, water accumulation and loss of containment that send real-time alerts to the terminal's response team. Royal Vopak (Rotterdam) co-developed the platform and in October 2025 signed an agreement to deploy it at its terminals worldwide over the next years, using it for long-term tank-maintenance predictions and fit-for-service analyses. Falcker lists BP Rotterdam refinery, VTTI and SABIC Geleen as reference customers. Inspectors and integrity engineers review detections and plan maintenance; the platform itself was built on OutSystems by Symbioo.