The problem

Manufacturing companies face huge threats to productivity, including unplanned breakdowns and reduced part quality. Even if just one piece of machinery in the assembly line fails, the whole process grinds to halt. In total, these problems cause manufacturers to lose up to $316 billion every year. 

Predictive analytics are increasingly deployed to help increase machine productivity, whether that’s through predicting the point of machine failure or the quality of parts made. The global predictive maintenance market size is expected to reach $163 billion by 2028. Existing solutions, however, are based on centralised AI that takes ownership of process data away from the companies, making the data unusable.

The solution

Utpatti is building a plug-and-play decentralised Al based predictive analytic solution for manufacturers. Crucially, this does not require transferring the company's machine data to an external cloud or to install new sensors. 

Not only can companies now accurately predict machine failure and part quality, they can retain ownership over their own process data. This allows them to share predictive knowledge across plants in multiple locations. 

They are already running 10 pilots with engineering and appliance manufacturer Bosch. 

Why we’re excited to invest

Edoardo Gentili, investor at Founders Factory, says: "We're seeing a a growing demand for predictive maintenance solutions, driven by the need to reduce downtime, increase efficiency, and optimise production. This has vastly improved as a result of IoT and AI advances, making predictive maintenance more accurate than ever. Utpatti is showing many signs that it will be a major player in this industry - strong founder market fit and early adoption from huge manufacturers like Bosch. We look forward to working with the team and seeing how they can transform the industry."