Senseye, which has headquarters in Southampton and an office in Sunderland, provides a scalable predictive maintenance capability which enables industrial companies to monitor the condition of thousands of machines remotely, identify emerging problems automatically, and predict precisely when monitored components and machines are likely to fail.
More than 200 maintenance users at Nissan’s Sunderland plant use Senseye’s software to optimise maintenance activities and make repairs months before predicted machine failure. Over 3,000 Nissan assets - including robots, conveyors, drop lifters, pumps, motors and press/stamping machines - are monitored across multiple production sites where models such as the Qashqai, X-Trail, Leaf and Infiniti are produced.
Simon Kampa, Chief Executive Officer of Senseye, comments: “Senseye moves predictive maintenance forward from being an expensive, manually intensive task that focused on critical points of failure only, to one in which organisations can monitor all of their machinery automatically and prioritise maintenance based on need. Our software is already helping major manufacturers across the UK halve their levels of machine downtime and achieve maintenance cost reductions of 40 percent.”
Paul Butler, Chief Executive Officer of the NEAA: “We are delighted to partner with Senseye. Its ground-breaking predictive maintenance capability is already proven to boost the productivity of automotive manufacturing environments, and there is enormous potential for its technology to transform our sector in the North East of England and around the world.”