EdgeAI, a decentralised edge intelligence network built on Tagvance’s industrial IoT infrastructure, is launching its first large-scale deployment connecting more than 20,000 industrial and maritime devices across Asia.

Tagvance, a Singapore-based technology company with government contracts and enterprise clients such as Samsung and Panasonic, has established one of the region’s most extensive IoT networks. Generating nearly $2m in annual revenue, the company recently partnered with Nasdaq-listed Chijet Motor to advance intelligent mobility and connected-vehicle systems.

EdgeAI extends this foundation into an autonomous intelligence layer, enabling every connected device to process, learn and contribute value directly at the edge. At the heart of this evolution lies the proof-of-information-entropy (PoIE), a mechanism that quantifies the informational value of data, forming the foundation of EdgeAI’s decentralised credit system for the AI economy.

“EdgeAI is the natural progression of everything we’ve built through Tagvance,” said Olivia Chen, co-founder of EdgeAI. “It turns industrial infrastructure into a living intelligence network where machines can learn, collaborate and generate value in real time.”

With a strong operational base and thousands of active IoT nodes, EdgeAI provides the missing intelligence layer between data generation and decision-making, transforming Tagvance’s industrial footprint into a distributed framework that bridges the physical and digital worlds.

This industrial pilot marks the first step towards a global machine-driven economy powered by real-world data and autonomous collaboration. As deployment scales and integration deepens, the vision behind EdgeAI becomes increasingly clear.

“EdgeAI is born from the real world, from working factories, ports and sensor networks that already move data and create value every day,” Chen said. “We’re now connecting that foundation to a new era of machine autonomy and distributed intelligence.”

EdgeAI (edgeai.xyz) builds the decentralised intelligence layer that allows AI to operate and learn where data are created, at the edge. It extends the industrial IoT foundation of Tagvance (www.tagvance.com) into a self-learning, privacy-preserving network connecting thousands of real-world devices.