2019 marks an inflection point in the maturity of Industry 4.0 and the application of real-world predictive maintenance. As a provider of industrial predictive maintenance analytics to Fortune 500 companies, it is very much our area of expertise. Read our predictions for 2019.

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Senseye, a provider of predictive maintenance analytics, today announced that it has tripled the size of its dedicated customer success team to accelerate the returns that customers can make from investing in its technology.

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Senseye, a provider of predictive maintenance analytics, today announced that it is rolling out new Trend Recognition algorithms capable of automatically identifying machine problems at an earlier stage than was previously possible.

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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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2017 was an exciting year for Industry 4.0, with it starting to gain some mainstream press attention. The Senseye founders give their outlook for 2018.

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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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