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Description

Our advanced automation SaaS platform enables the swift creation of digital replicas of your industrial resources at the simple touch of a button, significantly reducing integration expenses by up to 90%. With AI-driven capabilities, you can effortlessly generate a digital twin of your technical assets. This technology allows for the real-time representation of physical components, workflows, and even complete manufacturing facilities. By conducting simulations, you can explore various scenarios before executing them in the real world. This approach enhances production line efficiency, anticipates possible complications, and supports informed decision-making based on data. Through the collection and analysis of data from machinery and sensors, users gain critical insights for operational improvement. The blueprint system seamlessly connects machines with a single click, facilitating data collection and transmission, which in turn elevates decision-making, enhances operational performance, and supports sustainability efforts. Furthermore, this blueprint technology fosters plug-and-produce integrations and encourages compatibility between machinery manufacturers and industrial software solution providers, ultimately driving innovation across the sector. With our tool, businesses can not only streamline operations but also adapt swiftly to changing market demands.

Description

The Wizata Platform enables the manufacturing industry to drive digital transformation. It facilitates the development of AI solutions, from proof of concept to production recommendations, for a complete loop control through AI. This SaaS-Software as a Service platform acts as an orchestrator for your various assets (machines and sensors, AI, edge, etc.) and allows you to easily gather and analyze your data. It is your sole control. You can manage your resources and prioritize your projects based on how your AI solutions solve business problems and improve production processes. We have also developed data science best practices in metalurgics since 2004.