Edge AI

AI applications at the edge and across environments

Processing data at its source enables faster insights and more energy-efficient processing. Edge AI reduces network congestion and latency, uniting IT and OT devices, sensors, and programmable logic controllers (PLCs) in a single data lake for on-site processing, autonomous action and real-time decisions. We deploy AI applications at the edge and in machines in real-time for manufacturing clients using smaller, more effective learning models that are efficient to set up and run.

Physical AI through a full-stack Edge AI services model

We embed real-time, context-aware AI into physical operations by combining edge infrastructure, sensors, video and operational data within existing IT/OT environments. Using multi-sensor fusion and Physical AI, our solutions detect events, interpret context and recommend or execute next-best actions - with reduced latency and enhanced privacy. Delivered as fully managed services with built-in monitoring and continuous optimization, we help organizations scale AI-powered operations and drive measurable ROI.

A data platform that will redefine how industries leverage AI

Our edge AI platform is a pivotal development in the journey toward smarter, more connected operations. Tailored for specific industry needs, it uses lightweight, cost-effective AI models housed in ultralight computing units. It excels in tasks like enhancing security and improving operational efficiency by seamlessly integrating and analyzing data from diverse networked devices at the edge and across factories, warehouses, vehicles and field environments.

Boost cost savings with AI-driven maintenance and monitoring

Improve maintenance, repair and operations (MRO) efforts by using data from sensors, PLCs, cameras, IT, OT and IoT devices to predict, find and fix problems quickly.