Preflet

Preflet GmbH is a German company founded in 2023 and based at the Tübingen-Reutlingen Technology Park in Baden-Württemberg. It develops an AI-based energy intelligence platform for building managers that connects to existing smart meters and analyses multidimensional data, including building energy data, climate data and satellite imaging, using machine learning. The platform identifies peak consumption, detects energy waste, recommends practical corrective actions, and measures the environmental impact of energy-saving measures by comparing actual against forecasted consumption. According to the company, buildings analysed with the platform achieve a 15 percent reduction in energy consumption.

The company positions its architecture as edge-first, arguing that traditional building management and energy management systems, as well as cloud-only SaaS, lack the deterministic latency and safety required for closed-loop control, and that a hybrid model combining edge execution with cloud coordination is needed for autonomous buildings. Its Edge AI Autonomy work is described as moving beyond continuous monitoring toward dynamic control with a record of every action and its measured impact. Preflet also applies satellite data to building energy management and carbon emissions reduction, an approach recognised by the ESA Business Applications Challenge at the INNOspace Masters.

Business model

Preflet sells access to its energy AI platform to organisations managing buildings. The company states that its approach requires no upfront investment from customers and provides a unified alternative to existing building energy management technologies and practices.

Traction

The company reports having onboarded more than 10 pilot customers and having built out its team, and states a 15 percent reduction in analysed buildings' energy consumption. EU-Startups lists total funding between €100K and €500K.

Latest developments

Preflet won a €100,000 grant as one of the top winners of the ESA Business Applications Challenge at the INNOspace Masters for its satellite-data-based building energy management platform, and participated in an energy expert meeting at Hochschule Reutlingen, where it presented its Edge AI Autonomy work. The company has published analysis of agentic AI in energy systems and of the limits of traditional BMS and EMS platforms.