Presage

Manufacturing SMEs face significant costs from unplanned equipment downtime but often lack access to affordable, trustworthy AI-based maintenance solutions. Existing approaches, including planned, condition-based and corrective maintenance are often not cost effective. Existing predictive maintenance approaches require significant data science expertise, large datasets, or expensive custom implementations, creating barriers for smaller manufacturers to adopt predictive maintenance.

Presage is a predictive maintenance software that detects equipment faults and learns from the in-house maintenance experts as it interacts with them, without requiring data science expertise from them. It works with the machine data manufacturers already collect, so no new hardware is needed, and it addresses three critical adoption challenges. First, it reduces data labelling requirements by more than 95%, allowing reliable models to be built from tens of examples rather than thousands. Second, every prediction comes with a measure of confidence, enabling engineers to make informed, risk-aware decisions. Third, each prediction is explained in plain English, building trust in AI-assisted maintenance. Models continue to improve as technicians give feedback during normal work.

Presage will be commercialised through a subscription-based software licence, supported by optional services such as auditing, and consulting infrastructure set-up. We will start in Ireland, then expand to Germany, Italy and other EU countries. With manufacturing SMEs representing more than 99% of manufacturing companies in the EU, there is a significant opportunity to provide access to cost effective reliable AI-based fault detection. By reducing cost, keeping data on-site and improving user confidence, Presage enables widespread adoption of predictive maintenance across the SME manufacturing sector.