Predicpro’s purpose is to reduce downtimes of machines manufacturing Fast Moving Consumer Goods (FMCGs) utilizing modern sensor solutions combined with AI-powered predictive maintenance.
We set out to create a prediction model that would accurately predict the arrival of ships.
Being able to monitor data in an office building and use models to predict events such as room occupancy adds to the understanding and transparency of the processes of the buildings’ energy consumption and the overall behaviour of its occupants.
We set out to create an AI assistant for work, helping workers being more productive in their job.
We set out to leverage predictive maintenance based on data analytics in order to improve the reliability of steam boilers.
We set out to create a solution for German crafts businesses that would enable them to work more efficiently by digitalizing many manual back office processes.