HAIFA / Presenso uses sophisticated deep learning, machine-learning, and real-time analysis algorithms to precisely predict machine degradation and failure within heavy industry

 


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Presenso news

May 17, 2017

Machine Learning Will Help Us Fix What’s Broken Before It Breaks

A third company, Presenso, takes a more direct approach: Industrial machines have a host of sensors, and the company’s service taps into them. The sensor data is uploaded to the Presenso cloud where their AI engine creates a digital model based on a sensor’s operational norm.

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May 8, 2017

The Industrial IoT: 125+ Startups Transforming Factory Floors, Oil Fields, And Supply Chains

Asset-heavy industries like manufacturing, logistics, mining, oil, utilities and agriculture have also begun to apply IoT systems to improve efficiency and results. With machines and specialized sensors collecting data at every step of production, the potential gains from the Industrial Internet of Things (IIoT) are enormous. Just in 2016 alone, startups bringing digitization to industry saw more than $2.2B of investment.

 

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March 3, 2017

Is the digital twin ready for widespread adoption?

The technology world is abuzz with talk of the digital twin. Gartner identified the digital twin as one of the top 10 strategic technology trends in 2017. Not only have GE and Siemens committed massive investments in this arena, but they are publicly tying their future earnings to the success of these initiatives.

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February 16, 2017

Robots are Learning the Subtle Sounds of Mechanical Breakdown

Expert mechanics can detect what’s wrong with a car without lifting the hood. So can deep learning robots.

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November 21, 2016

Presenso wants to prevent factory shutdowns with sensors and machine learning

Presenso’s technology uses sensors and machine learning to predict malfunctions in various types of equipment and prevent costly shutdowns of plants and companies

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June 14, 2016

Israeli Industrial IoT co DeepSense Raises $2MM

Israeli startup DeepSense (formerly known as SmartLogic) has completed a $2 million financing round. The company specializes in long term prediction of industrial machine failure, to minimize downtime.

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