AI Energy Management Platform seeking introductions to retailers, care groups and real estate owners

This fast-growing climate tech scale-up helps large building portfolios cut energy waste. Its AI engine finds what is costing them money, and its experts help fix it. Customers pay lower energy bills, cut their CO₂ emissions, and can prove every euro and tonne saved.

Why it matters:
Buildings account for 40% of global energy use and 33% of greenhouse gas emissions, making them the most obvious place to save. Yet most energy and facility teams are stretched too thin and rely on outdated tools or dashboards that miss most problems and leave them drowning in data. High energy prices and growing compliance demands add to the pressure.

Take one of the company’s customers, a top-10 global retailer: 12,000 stores, around 15 metered installations per store, and more than 500 installation types. That adds up to three trillion data points, far too many for any team to monitor. Without an AI engine, energy waste goes unnoticed.

How it works: The platform first connects all of a portfolio’s energy data, from every meter, system and installation type, into one trusted data layer. On top of that, the company’s self-learning AI then builds a dedicated model for each building and monitors it 24/7, catching 3.6 times more anomalies than legacy systems. Every issue is ranked by cost, turning hundreds of sites/buildings into a short list worth acting on, with each action dispatched to the right team. The company’s experts and partners help see those actions through.

Finding waste is where the company starts, not where it stops. The same trusted data also takes the rest of the work off the customer’s plate: sustainability reporting, tenant invoicing, budgeting, and proving which capital projects actually delivered.