Nanoveu (ASX:NVU) Using technology developed by Taiwan Semiconductor Manufacturing Company (TSMC), we accelerated the commercialization of ECS-Dot chipsets for extreme power efficiency and ultra-low latency AI applications.
The company has made considerable progress towards tape-out and chip manufacturing under the leadership of Professor Mohamed M Sabry Aly, with technical supervision from Professor Yehia Ismail from the Center for Nanoelectronics and Devices (CND) at the American University in Cairo.
In April, AI Systems (EMASS), which incorporates a wholly owned subsidiary of Nanoveu, secured collaboration with CND and co-developed an application-specific AI chip using TSMC's 16NM Finfet (FIN Field Effect Transistor).
3D architecture
Unlike traditional planar transistors, Finfet Technology uses a 3D architecture to allow more efficient current control, resulting in power consumption, higher performance, and greater transistor density, which are key features for building compact, ultra-efficient AI systems.
This integration of EMASS into the ECS-DOT AI of Thing System on the Chip platform is expected to provide significant performance improvements per watt, allowing for field AI analysis of wearables such as health trackers and smart rings. A small language model for ultra-low power edge devices.
EMASS is currently expanding its sales teams in the US and Europe, establishing early engagement with drone and wearable equipment manufacturers for commercialization.
Engineering Team
Nanoveu's ECS-Dot program is powered by 24 engineers adopted in collaboration with CND, driving full-stack innovation across analog, digital and embedded systems.
The interdisciplinary team has deep technical expertise throughout the complete chip development stack, combining academic excellence with real-world engineering implementation to ensure sustainable innovation.
This includes four senior PHD level engineers who provide advanced academic insights. Five engineers with important industry expertise. and 12 medium-sized, junior and intern engineers to support the scalability of all their own intellectual property.
Core Module Design
Nanoveu's 10-person analog engineering team focuses on delivering core modular designs within the company, including wireless circuits, analog to digital, digital to analog converters, and integrated power management units.
This module forms the basis for low-power communications essential at the edge of AI applications such as wearable health monitors, smart industrial sensors, asset tracking devices, compact robotics, and autonomous systems.
At the same time, the company's digital engineering team is designing a full system digital architecture that integrates on-chip memory innovation, AI system optimization technology, and advanced I/O and interface frameworks to support advanced I/O and interface frameworks with minimal power draw and ultra-low latency.
These developments will deliver intelligent, energy-efficient, real-time AI hardware to the commercial and industrial markets, tailoring Nanoveu's long-term goals.
New package
EMASS moves the ECS-DOT platform to a ball grid array package to support miniaturization and real-world deployment, significantly reducing footprint and improving performance in space-constrained environments critical to mobile and embedded AI use cases.
Beyond this, the company has expanded its embedded systems and EDGE AI software development and operations in Egypt and Singapore, targeting a total team of 10-15 engineers to support device firmware, system software integration and application activation.
This expansion allows EMASS to ship products with full software stack support, improving adoption preparation and customer compatibility.
