• EMASS, Nanoveu's subsidiary, successfully taped out its next-gen 16nm ECS-DoT ultra-low-power Edge AI SoC
• The 16nm ECS-DoT scales EMASS's proven 22nm ECS-DoT platform, delivering higher computing density and expanded on-chip memory
• Key enhancements include integrated Bluetooth Low Energy, expanded on-chip SRAM, dedicated AI acceleration, and an integrated floating-point unit

Nanoveu Limited (ASX: NVU, OTCQB: NNVUF), a technology innovator across advanced semiconductor, visualisation and materials science applications, has announced that its wholly owned subsidiary, Embedded A.I. Systems Pte. Ltd ('EMASS'), has successfully taped out its next-generation 16nm ECS-DoT Edge AI system-on-chip ('SoC'). The 16nm ECS-DoT has now entered fabrication at Taiwan Semiconductor Manufacturing Company ('TSMC'), marking a critical execution milestone in EMASS's product roadmap and a transition from final design into production silicon. The 16nm ECS-DoT represents a process-node and architectural scaling of EMASS's proven 22nm ECS-DoT platform, increasing logic density, memory bandwidth and overall system integration while maintaining the constrained power envelopes required for edge, battery-powered and energy-harvesting applications. Key enhancements in the 16nm ECS-DoT include an integrated Bluetooth Low Energy subsystem, expanded on-chip SRAM capacity, a new adaptive fine-grained power-management architecture, a dedicated object-detection accelerator, and an integrated floating-point unit. Despite the transition to a 16nm process node, the ECS-DoT architecture maintains full software and workflow compatibility across generations, enabling developers to migrate applications between the 22nm and 16nm devices with minimal changes.

The successful tape-out of the 16nm ECS-DoT further reinforces Nanoveu's Atoms-to-Apps development philosophy, aligning application needs, algorithm design, silicon architecture and real-world deployment within a unified system-level approach. The achievement positions Nanoveu to support a broader range of always-on edge intelligence applications while remaining true to the energy efficiency principles that define its technology.