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Dot Ai Announces Partnership with Wiliot to Innovate Industrial-Grade Ambient IoT Solutions

Dot Ai

Dot Ai, an IoT and AI-based SaaS company at the forefront of Asset Intelligence technology, announced a three-year strategic partnership with Wiliot, a global leader in Ambient IoT technology.

Under the agreement, Wiliot will support Dot Ai as it focuses on developing and deploying industrial and manufacturing applications – extending Ambient IoT deeper into factories, warehouses, and complex logistics networks. Wiliot will also supply the Company tags and cloud services for resale.

Advancing Ambient IoT into Industrial Environments

As part of the collaboration, Dot Ai has validated and is commercializing the first true industrial implementation of the Wiliot tag technology, coupling their chip with a patent-pending plasmonic folded ground plane structure that increases readability and range when mounted on-metal or in wet environments. Note that Dot Ai has also released a patent-pending rugged Industrial Bridge device that can read this tag as well as other Wiliot enabled labels in their applications.

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These innovations dramatically expand the range of industrial use cases where this technology can be applied – from high-value retail supply chain tracking to production-line applications, full-warehouse inventory automation, metal skids, shipping containers and outdoor laydown yards to name a few.

With these developments, in-process Ambient IoT data collection has been added as an important data stream in the Dot Ai ecosystem. Together with other legacy data collection systems, Dot Ai continues to enhance their ability to deliver in-process asset visibility across complex facilities, unlocking the next frontier of asset intelligence and AI empowered workflows.

“This partnership solidifies our commitment to extend the power of Ambient IoT into the heart of industrial asset intelligence,” said Ed Nabrotzky, Chief Executive Officer of Dot Ai. “By developing industrial components to interface with Wiliot’s technology, we are able to collect additional data in our target environments to deliver the continuous, in-process intelligence that complex supply chains demand.”

SOURCE: Businesswire