DataRPM deliver industry’s only Cognitive Predictive Maintenance (CPdM) Platform for Industrial IoT. DataRPM uses patent pending Meta-Learning technology, integral component of Artificial Intelligence to automate predictions of asset failures. CPdM is a full stack platform available on cloud or on premises that connects to the data lake and then automatically runs multiple Machine Learning experiments, finds patterns & anomalies in data, identifies influencing factors & predictors, and builds an ensemble of predictive models to automate Predictive Maintenance. Not only does CPdM delivers descriptive, predictive, prescriptive analytics through Natural Language Discovery module but also provides a closed loop system by integrating this actionable insights through APIs to ERP, CRM, and CMS systems. The Meta Learning environment runs multiple live automated ML experiments on datasets, extract data from every experiment, train an ensemble of models on this meta data repository, applies models to predict the best algorithms and finally build machine -generated and human verified Machine Learning models for Predictive Maintenance. The entire workflow uses various recipes like feature engineering, segmentation, influencing factors and prediction recipes to give prescriptive recommendations.
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The DataRPM annual revenue was $47.5 million in 2026.
3 people are employed at DataRPM.
DataRPM is based in Redwood City, California.
The NAICS codes for DataRPM are [517, 51, 51711, 517110, 5171].
The SIC codes for DataRPM are [73, 737, 7375].