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


Presenso news

December 21, 2017

7 Industrial IoT Startups Using AI to Monitor Machines

In the world of the Industrial IoT, there are potentially billions of dollars that could be saved if companies could anticipate machine breakdowns or failures before they happen.


October 18, 2017

Considering Automated Machine Learning for Wind Turbine Asset Maintenance

The potential financial benefits from Industry 4.0 are apparent to plant owners in almost all sectors. The wind power industry is no exception, and existing vendors such as GE (Predix/Digital Windfarm), Siemens, and SAP are investing heavily in research and development (R&D) in this area.


October 16, 2017

Machine Learning Asset Maintenance for Oil & Gas

AS CAPITAL EXPENDITURES and O&M budgets are cut in response to the precipitous fall in worldwide petroleum prices, there is growing interest in the unrealized economic potential of Industrial Analytics.


June 1, 2017

An Incremental Approach To Machine Learning For Asset Maintenance

If you are reading an article in Manufacturing Business Technology, then there is a good chance that your strategic roadmap includes machine learning for asset maintenance. There is a consensus that machine learning can unlock significant value for manufacturers, by providing plant owners with real-time analysis of an asset’s current performance and the likelihood of degradation and failure.


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.


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.



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.


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.


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


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.