Progress, a provider of application development and deployment technologies, is acquiring DataRPM, a privately-held company and leader in cognitive predictive maintenance for the industrial IoT (IIoT) market.
“Progress has always provided the platform for building and deploying mission-critical business applications. The future of applications is cognitive-first, and Progress is committed to providing the best platform to build and deploy them,” said Yogesh Gupta, CEO, Progress. “With the acquisition of DataRPM, we now have leading predictive analytics capabilities to round out our cognitive apps platform.”
Progress acquired DataRPM for a purchase price of $30 million, with $28.3 million paid in cash, and $1.7 million payable to DataRPM’s founders in the form of restricted Progress stock.
DataRPM offers cognitive predictive maintenance solution for industrial IoT. The patented platform automates predictive modeling, leveraging proprietary Meta Learning capabilities to increase quality, accuracy, and timeliness of equipment failure predictions.
DataRPM technologies can detect random and unknown failures using a combination of unsupervised and semi-supervised learning techniques, teaches machines to automate data science using a technique called Meta Learning, and horizontally scales to monitor and track any number of industrial machines, addressing the needs of even the most demanding use cases.
With the acquisition of DataRPM, Progress enables customers to harness previously untapped volumes of data to build cognitive apps quickly and easily – democratizing machine learning and making it accessible to any organization
For more information about this acquisition, visit www.progress.com.