Predikto Named by Gartner as a Cool Vendor in IoT Analytics

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Predikto software enables Machine Learning automation to predict equipment downtime in Industrial IoT customers

Predikto

Predikto

It is an honor to be included in the Gartner Cool Vendor report. This recognition is validation in our ability to bring machine learning algorithm development software at a massive scale to help improve equipment uptime

Predikto, a leading provider of IoT predictive analytics software for industrial equipment, today announced it has been included in the “Cool Vendors in IoT Analytics, 2017” report by Gartner, Inc.

“It is an honor to be included in the Gartner Cool Vendor report. This recognition is validation in our ability to bring machine learning algorithm development software at a massive scale to help improve equipment uptime,” said Mario Montag, CEO of Predikto. “By automating close to 80% of the process of creating machine learning algorithms, we are able to empower our customers to complement existing condition maintenance rules based systems with the power of machine learning at a massive scale. Our approach includes Predikto Maintain, a software that bridges the gap between machine learning algorithm output and the information required by Maintenance and Reliability Engineers to do their job more effectively and reduce unplanned breakdowns”.

About the Gartner Report
The Gartner report "Cool Vendors in IoT Analytics,” by analysts Svetlana Sicular, Jim Hare, Saniye Burcu Alaybeyi, Shubhangi Vashisth, and Simon F Jacobson was published April 27, 2017.

Gartner Disclaimer
Gartner does not endorse any vendor, product or service depicted in our research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

About Predikto, Inc.
Moving the unplanned to planned. Predikto provides predictive analytics automation software with a focus on rail, aviation, and shipping industries. Predikto is now expanding into Wind Turbines and other asset intensive verticals. By automating the process of data science and machine learning with our patent pending MAX engine we can focus on solving real world reactive maintenance problems with our customers and improving their operational metrics. Customers are both operators and OEMs looking to expand the capabilities of their own CBM applications.

The company was founded in 2013 upon the premise that unless data science could be automated, the use of big data in Industrial IoT would remain a long, ineffective and costly services engagement driven by large IT companies with bigger marketing budgets than development budgets. This automation allows Predikto to do in weeks what traditionally takes months or years. Customers include GE, Wabtec, DB Cargo, Airlines, and some of the largest shipping companies in the world.

Predikto is headquartered in Atlanta, Georgia (USA) with offices in Dallas, Texas and a growing European based team in Amsterdam and London.

For additional information or a product demonstration
Please contact us at info(at)predikto(dot)com or visit our website at http://www.predikto.com

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Mario Montag
@PrediktoIoT
since: 02/2013
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