Solving Key Issues Across the Manufacturing shop floor
The Manufacturing Gamayun AI platform is powerful and deployable via a one-click install platform that enables global manufacturers to rapidly integrate data from a variety of sources, including internal enterprise applications, sensor networks, operational systems, and exogenous third-party data to power AI models. This plug&play monitoring and analytics platform is Manufacturing-Big-Data-as-a-Service (MBDaas) innovation and the foundation for various applications to address i.e., predictive maintenance, anomaly detection, Quality control, production optimization, improve asset management, and other high-impact use cases. These AI applications can be quickly customized and deployed in 4-6 months, scaled across global manufacturing and locations.
The platform includes all necessary components, from data storage to an interactive dashboard for data visualization and real-time KPI monitoring. Real-time cloud-based monitoring across multiple machines and even multiple sites can drastically increase efficiency and reduce downtime. This is a powerful and critical element in a manufacturing industry where productivity and time efficiency are paramount.
Industry 4.0
Highlighted project
Greentech
Hybrid technologies for green factories of the future
Greentech aims to develop the factory of the future by incorporating environmentally friendly and energy-efficient solutions in priority areas, including Robotic and laser systems and components, Intelligent control systems for Factories of the Future, Robotics, Control technologies, and Advanced manufacturing methods for materials and nano and quantum technologies (Industry 4.0 components). The project aims to optimize manufacturing processes using predictive maintenance, prognostics, and digital twins.
AI-IGC4.0-DT will build, demonstrate, and commercialize innovative Al-driven Digital Twin (DT) solutions for Industry 4.0 applications in grinding technology (IGC4.0). In this direction, the project will specify structuring principles and blueprints with a focus on optimizing production processes and increasing resource efficiency through digital solutions.
AI-IGC4.0-DT applications will consider the characteristics of real-time digital twins (DTs) and artificial intelligence (AI). At the same time, Al-IGC4.0-DT will develop and implement a unique blend of process monitoring and cloud-based DT as a Service (DTaaS) or DT as a Platform (DTaaP) solutions.
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