Cascadence™ is a proven platform for predictive analytics and complex machine learning for industrial IoT, developed by Toumetis, Inc. Cascadence is already in use by multiple Fortune 500 industrial leaders. Our team of developers and consultants is led by data scientists with real-world experience in industrial IoT data science dating back to 1993. This includes experience in multiple industries such as Aviation, Energy, Manufacturing, and Oil & Gas. The Cascadence architecture innovates anomaly detection, pattern matching, optimization engine, and neural networks can provide exceptional improvement in efficiency and clarity in business decisions.
Cascadence enables OSIsoft customers to unlock more value of the data in their PI Systems. Via the application of advanced data mining and machine learning technologies, Cascadence transforms raw data into actionable information that can be used to provide greater insight into asset health & operations providing a positive impact on bottom line performance and safety. Cascadence has been successfully applied across a number of domains. Applications include: OPEX reduction by enabling predictive maintenance; production yield improvement by early classification of process deviation using anomaly detection analytics and uplift in customer retention via churn analytics and pro-active customer support intervention. Cascadence’s flexible architecture allows it to be easily integrated into IT & OT infrastructure allowing operational workflows to be extended and improved. With a head start in real-world industrial experience and agile deployment approach, Toumetis enables clients to start seeing an impact in weeks, not years.
Cascadence’s connector for the PI System enables data and asset model information to be extracted from PI Server at scale. A suite of advance machine learning algorithms can then be applied to the PI Data enabling new insights and information to be derived. Cascadence can work on historical data to derive data driven models that can then be applied to new data streaming into the system to provide real time recommendations and alerts. Alternatively, Cascadence can build the models incrementally on streaming data as it arrives. Cascadence can serve visualizations to complement existing capability or can act as a single pane of glass, bringing together and enabling a uniform set of visualization across different data sources. Cascadence’s security takes into account the many critical issues demanded of industrial applications, including the ability to run on offline networks.