Predicting building damages using AI lands €1.35 million for Frankfurt-based startup

Preventio aims to expand the research and development team and enhance the predictive maintenance platform
Predicting building damages using AI lands €1.35 million for Frankfurt-based startup

Frankfurt-based startup that offers technology to reliably predict building damages, Preventio has raised a €1.35 million funding. The pre-seed round was led by Futury Capital, an early-stage and growth investor focusing on tech startups. Andreas Haug, founder and general partner of the venture capital firm Headline, BMH Beteiligungs-Managementgesellschaft Hessen and angel investors such as Christoph Benner, Marcus Laube and Alexander Jörger also participated in the round.

The funding will be used to expand the research and development team and enhance the predictive maintenance platform to transform the AI-based prototype into a scalable SaaS application.

Building damages, in particular tap water damages, leading to billions in damage costs and considerable water loss annually. These damages are one of the main cost drivers for the building sector and are expected to increase as properties start ageing. The platform’s solution supports insurance companies, housing associations and pipe manufacturers in identifying risks and reducing damages.

Founded in 2021 by Andreas Bechmann, Bledion Vladi and Frederic Büdel, Preventio’s AI solution can predict the probability of tap water damages by analysing various data points from historical damages. This eliminates the need to install sensors, allowing market participants to operate more efficiently and cost-effectively.

Andreas Bechmann and Peter Yves Ruland, managing directors, Preventio said: “We aim to empower industries by redefining predictive maintenance through creating intelligent systems based on understanding, analysing, and presenting data.”

The company has already established a large data pool from various recognised industry partners, including Viega and Vonovia.

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