Senseye today announced that its suite of technologies and methodologies are being rolled out in automotive manufacturing facilities in the U.S.

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Senseye today announced that its Senseye PdM technology suite will be made available through FANUC’s ‘FIELD system’ Industrial IoT (IIoT) platform.

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Senseye today announced that it has opened a new regional office in North America to support its customers and partners throughout the Americas.

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Senseye today announced that it has appointed industry specialist Barry Stott to lead its activities in the oil and gas sector globally.

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Senseye, the industrial software company & member of the OSIsoft Partner EcoSphere, will be a sponsor at the PI World Conference in Gothenburg, Sweden.

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Senseye, which is experiencing booming demand across Europe, has bolstered its team of commercial and industrial experts and opened a new office in Germany earlier this year to boost its support for clients in German speaking countries.

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Chosen by top UK-based entrepreneurs, the Startups 100 Judges’ Picks have been selected to reflect some of the top trends in this year’s list.

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Condition monitoring has evolved over the past 30 years.

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Senseye announced today that it has recruited Wakako Yamaguchi to expand its business activities in Japan. Wakako will lead Senseye’s sales activities in Japan and provide account management support to its customers in the country.

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Senseye announced today that it has joined the Partner EcoSphere at OSIsoft to deliver its automated condition monitoring product to help PI System customers on their digital transformation journey.

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Senseye, a provider of predictive maintenance software, today announced that it has appointed Peter Livaudais to lead its operations in France, Belgium, Netherlands, Luxembourg and the French-speaking areas of Switzerland.

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Today around two-thirds of manufacturers are gathering data from their production environments, yet relatively few are using it to improve processes or boost productivity and yield, argues Dr Simon Kampa.

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For manufacturers, leveraging data and analytics can deliver substantial returns. We’ve helped large scale manufacturers halve their levels of unplanned downtime and cut their maintenance costs by around 40%. The reduction in unplanned downtime tends to be the most significant saving here. Every minute that critical machinery is offline can cost big factories tens of thousands of pounds, so the returns that can be achieved by preventing this are substantial.

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Senseye, which was made a MindSphere Gold partner in August 2018, first provided its software to MindSphere users in June 2018, when it was made available as a complementary service that could be connected to the operating system. This new version of Senseye’s application was developed specifically for MindSphere and is hosted within the operating environment itself.

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Senseye, which uses machine learning to automate condition monitoring and prognostics analysis, has translated its industrial operations software tool into five additional languages. Previously available in English only, Senseye can now be used on the shop-floor by maintenance and operations people that speak French, German, Japanese, Russian and Spanish to cater to existing customers, with additional languages being added.

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Senseye, a provider of predictive maintenance analytics, today announced that it has partnered with the North East Automotive Alliance (NEAA), to provide its predictive maintenance software to the automotive sector in the North East of England.

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Experienced sales leader joins Senseye as Managing Director for DACH region.

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Senseye, a provider of predictive maintenance analytics, and Iconsys, the manufacturing systems integrator, today announced a new alliance to help industrial companies boost operational efficiency and profitability using Industry 4.0 technologies.

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Factories are no longer simply a mass of machinery operating as a series of siloed production lines. Instead, manufacturing executives and engineers manage interconnected networks of moving parts, something more akin to a living organism, that can be trained and fine-tuned to optimise performance.

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Smart factories are rapidly becoming the future of manufacturing, offering a new level of efficiency and productivity to those investing in them. Industry 4.0, combined with increasingly sophisticated analytics, is playing a huge role in driving the smart factory movement.

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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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Our CEO, Simon Kampa, recently featured in IMPO magazine where he provides a five-point plan outlining how manufacturing environments of all shapes and sizes can achieve substantial improvements in productivity and efficiency by implementing predictive maintenance at scale.

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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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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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Senseye, the scalable predictive maintenance product will be demonstrated live at Sensors & Instrumentation at the Birmingham NEC.

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Senseye, the Uptime-as-a-Service company celebrates its achievement of over 1000 machines under automated prognostics analysis for predictive maintenance

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Senseye, the Uptime-as-a-Service company celebrates its recognition as a leading provider of automated predictive maintenance with a discount offer for June

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Senseye, the manufacturing Uptime-as-a-Service leader for predictive maintenance, will be exhibiting at Maintec 2017 in Birmingham, UK in March.

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Senseye, the Uptime-as-a-Service leader today announced the launch of the next generation of predictive maintenance software to include remaining useful life

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Senseye, the Manufacturing Uptime as a Service company, today announced the closure of a significant seed funding round to further capture prognostics market.

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Prognostics is the future of condition monitoring, telling you when your machine will fail AND what condition it is now in. Download our FREE white paper!

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With the IoT helping predictive maintenance, do human diagnostic engineers have a place in predicting machine failure and if so, what is it?

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Steve McEvoy, a leader in prognostics and condition monitoring, formerly with GE Aviation Systems, has joined Senseye’s advisory board.

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Senseye is working with Parvalux, a Europe's leading motor gearbox manufacturer to predict when machines will fail, automatically, using PROGNOSYS

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Senseye, provider of the PROGNOSYS infrastructure-free prognostics and condition monitoring solution to the manufacturing industry, has today announced a strategic partnership with Momenta Partners, advisors to the Industrial Internet of Things (IIoT) market.

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Senseye announces the release of their ground-breaking software as a service solution. Senseye helps manufacturers maximize Overall Equipment Effectiveness (OEE) and save expenses for manufacturing businesses by reducing machine downtime.

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