Senseye is aturnkey automated application that uses machine learning and rigorous physics-based models to predict equipment health events with more precision and further in advance than any other analytics tool on the market.
Leveraging decades of intellectual property developed for aerospace/defense prognostics, Senseye is broadly applicable to any machine type and deploys quickly (typically within 2 weeks) – immediately yielding 10-40% improved maintenance costs, 30-50% reduced downtime, and 45-55%increased productivity.
The advanced AI algorithms automatically profile healthy machine behavior and identify anomalies – but the product goes beyond predictive maintenance and uniquely offers true prognostics, providing vital information about the Remaining Useful Life (RUL) of your critical assets.
Senseye has drastically reduced downtime and maximized overall equipment effectiveness at major global auto OEMs, steel producers, heavy equipment manufacturers, FMCG corporations, paper/pulp companies, and more.