The current industrial landscape is highly fragmented. Across sectors, companies collect vast amounts of data in various formats from hundreds or thousands of devices, each operating under different conditions. As industry boundaries blur, businesses can no longer afford to be limited by the nature of their data alone. They face the urgent challenge of using industrial data as efficiently as possible.

SDT Cloud was created to address this need — a Device and Data Management Platform designed for seamless equipment operation on the ground. Whether on public cloud, private cloud, or on-premises, SDT Cloud connects with industrial devices such as sensors and PLCs, enabling real-time sensing, machine learning, and control. It continuously learns from on-site data, generates models, and deploys them back to devices, creating a robust MLOps cycle.

With SDT Cloud, businesses can ensure device connectivity, efficient data transmission, collection, storage, and visualization, leading to smarter machine learning, automated model deployment, and continuous improvements. This ultimately results in reduced defects, minimized downtime, real-time decision-making, automated maintenance, long-term performance gains, and significant cost savings.