Razor™ - AI/ML engine for manufacturing / industry
Easily gain access to under utilized insights hidden within data through an industrial AI/ML engine.
RazorTM is a prescriptive analytics engine designed for industry that leverages AI and Machine Learning to detect and deter issues that degrade performance. Attaching to a company's IoT and operational data systems, RazorTM mines for anomalies and trends that signal any deviation from baseline performance. Alerting the operator to the potential issue and recommending specific actions to preempt future consequences when action is needed.
Of Industry, For Industry
Razor™ was developed by industry professionals who best understand the challenges associated with their specific sector. Our people have experienced the problems we are solving with our Razor™ technology, firsthand, and leverage this industry knowledge to observe, interpret and process data in new ways. Our revolutionary technology adds insights that add value and help drive sustainable improvements within your operations.
Our Unique Approach
Starting quickly with an historical data set, RazorTM will develop AI/ML models without creating disruption in your operations or stealing bandwidth from your time-constrained teams. After the models have been developed, they are integrated into existing data collection systems for real-time anomaly detection and learning reinforcement.
“Our manufacturing processes are world-class, and leveraging technologies like AI allow us to take them to the next level of performance — this is critical as we digitally transform operations. Praemo’s domain expertise and lean approach were key for us, allowing us to launch the First Use quickly and support our Industry 4.0 initiatives.”
— Eric Stockl, Chief Operating Officer, CH Guenther & Son
Is RazorTM a platform?
No - it is an analytics engine, with the ability to connect to your existing platforms/systems (SCADA, MES, CMMS, ERP)
Do I have to have my data harmonized?
No, RazorTM establishes real-time data connection without costly “harmonization” - taking industrial data "as is", "where is"