NAA Member News: Senseye launches industrial intelligence tool to guide manufacturing and maintenance transformation
Senseye, the leading provider of cloud-based predictive maintenance software for Industry 4.0 has launched a groundbreaking intelligence service providing industrial organisations with valuable insight to increase factory throughput, extend machine life and improve the safety and sustainability of manufacturing environments…
An industry first, Senseye ROI is a free online ROI calculator tool providing bespoke analysis of organisations’ production environments, as well as advice around the steps they should take to transform their maintenance operations using Industry 4.0 technologies and evaluate the financial returns that can be achieved from doing so.
The new tool compares current approaches and readiness for predictive maintenance with leading industrial organisations using benchmarks established from Senseye’s extensive experience in the automotive, heavy industry, oil and gas and FMCG sectors.
Simon Kampa, co-founder and CEO at Senseye, comments: “Senseye is trusted by leading Fortune 500 organisations to monitor assets at their factories worldwide. The wealth of insight we have gained allows maintenance departments to assess the likely impact of these deployments with incredible accuracy, providing operations and financial directors with reliable forecasts around productivity, downtime and the savings that can be achieved.”
“The adage of ‘over-maintenance is cheaper than failure’ is true but it’s still extremely expensive. Senseye helps manufacturers significantly reduce the amount of planned maintenance they perform, optimise maintenance spending and improve key operational KPIs affected by machine health including throughput, uptime and quality. Through our work supporting digital transformation initiatives we are halving levels of unplanned downtime and increasing efficiency by up to 30 percent.”
Senseye ROI complements its predictive maintenance software, which uses advanced machine-learning algorithms to automatically forecast machine failure and the remaining useful life of industrial assets. Integrating seamlessly with existing data sets, Senseye is the only predictive maintenance product that fine tunes its algorithms using A.I., allowing it to be implemented at large scale with ease.
