Our CEO, Simon Kampa, recently featured in IMPO magazine where he explains how artificial intelligence has helped increase the adoption of predictive maintenance by manufacturers and helped to fill maintenance skills gaps and boost productivity.

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Our CTO, Robert Russell, features in August’s edition of Processing Magazine where he highlights the operational challenges of scaling predictive maintenance & how automating analytic tasks allows organizations to expand the coverage of its assets without significantly increasing costs.

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Our CEO, Simon Kampa, recently wrote an article for Smart Industry which explores the challenges of deploying traditional predictive maintenance at scale, and how artificial intelligence is enabling wider and faster deployment.

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Senseye, a provider of predictive maintenance analytics, today announced that its award-winning machine condition monitoring and prognostics software has been added to the Manufacturing Technology Centre’s Factory in a Box product, delivered through the Smart Manufacturing Accelerator.

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Senseye, a provider of predictive maintenance analytics, today announced that it has now doubled the size of its engineering workforce since closing a £3.5 million Series A funding round in December 2017...

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Senseye, a leading provider of predictive maintenance analytics, today announced a new partnership with Siemens to make Senseye’s award-winning condition monitoring and prognostic software available to manufacturers through the MindSphere Industrial Internet of Things operating system.

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For 2018, Senseye is unveiling several exciting upgrades to its award-winning predictive maintenance software, further automating machine prognostics analysis.

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Senseye, the predictive maintenance leader is please to announce that it has closed £3.5m in Series A funding. Led by MMC ventures, with existing investors participating.

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Senseye has joined forces with PTC to offer easy to use predictive maintenance to users of the leading ThingWorx® industrial innovation platform

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Senseye is excited to announce that it will be demonstrating its award-winning scalable predictive maintenance solution, live at Connected Manufacturing 2017.

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