"We are the only player in the market who offers a purely data-driven solution, focusing initially on tap water damages. By creating an opportunity to forecast potential pipe failures, we provide the most useful, intelligent and sustainable information for our customers."
Our machine-learning-based PreventioENGINE allows us to predict water damages before they occur, reducing costly miscalculations and optimizing decision-making processes.
Preventio's Predictive Maintenance Platform recommends suitable damage mitigation measures to building-owners that reduce follow-up costs and preserve properties.
The open structure of the platform allows comprehensive use cases to be implemented to help customers collaborate with their contractors and unlock new revenue streams.
"With its AI-based approach, Preventio supports the insurance industry in assessing (building) risks and thus also creates real added value for end customers."
"The approach contributes to the sustainable maintenance and value preservation of the building and the well-being of the residents. We are pleased to be a pilot partner of Preventio and to support the start-up in this phase."
"Water damages are among the highest repair claims in residential and commercial buildings. So far there hasn’t been an opportunity to predict a potential failure in a piping system; only an actual failure could be registered. The data driven solution allows us to analyse water use in buildings, forecast potential pipe failures, and work together with our contractors to create new revenue streams and avoid loss of rental income/usage and high repair costs for building owners.”