Nanoveu Buys Semiconductor Business; Pushes AI-Driven Edge Computing

Nanoveu (ASX: NVU) has completed its acquisition of Embedded A.I. Systems Pte. Ltd. (EMASS), a semiconductor design company specializing in ultra-low-power System-on-Chip (SoC) solutions.

This strategic move strengthens Nanoveu’s position in AI-driven edge computing and semiconductor markets, further supported by the appointment of semiconductor veteran Mark Goranson to lead Nanoveu’s new semiconductor division.

Edge computing processes data near its source instead of relying on centralized cloud servers, reducing latency and improving efficiency.

Strategic Significance

EMASS’s SoC solutions are key for AI processing in smart devices, IoT, and 3D content transformation, expanding Nanoveu’s offerings in wearables, autonomous vehicles, drones, medical devices, and IoT systems.

Nanoveu wants to capitalize on the growing demand for AI applications and edge computing, enabling low-latency, high-performance solutions. Integrating EMASS’s technology with Nanoveu’s EyeFly3D™ platform will enhance real-time 2D-to-3D conversion, boosting energy efficiency and user experience—critical for industries such as retail, digital signage, and healthcare.

Key Highlights

• The acquisition finalizes the deal, giving the go ahead for the integration of EMASS’s SoC technology with Nanoveu’s products.

• Mark Goranson, an expert in semiconductor technologies, will head Nanoveu Semiconductor. Dr. Mohamed Sabry Aly, EMASS’s founder, will guide strategy.

• EMASS’s technology will enable faster, energy-efficient real-time 2D-to-3D conversions, optimizing EyeFly3D™ for mobile devices.

Growth Plans for 2025

• Develop partnerships with manufacturers in wearables, drones, and IoT to commercialize EMASS’s ultra-low-power solutions.

• Focus on energy-efficient solutions to reduce carbon footprints, strengthening Nanoveu’s sustainability leadership.

Competitive Edge

EMASS’s SoC, built on RISC-V architecture, offers AI acceleration and 3D rendering, ideal for digital signage, retail, and healthcare. Its efficiency is proven by MLPerf Tiny v1.2 benchmarking, which demonstrates the SoC’s ability to perform AI tasks at just 2 milliwatts—equivalent to the energy consumed by a heartbeat.

Mark Goranson states, “We aim to push AI efficiency—30 billion operations per second on just 2 milliwatts. This is intelligence at the power level of a heartbeat.”

The acquisition terms include 172,413,793 consideration shares and 83,333,333 performance rights, aligning shareholder interests with performance milestones.