dorsaVi Appoints Three Global Experts to Drive Ultra-Edge Tech Commercialisation

dorsaVi Limited (ASX: DVL) has established a dorsaVi Technical Advisory Board comprising three globally recognised experts to guide the commercialisation of its “Intelligence at the Ultra Edge” technology. The appointments span RRAM device physics, neuromorphic computing architectures, and robotics deployment, positioning the company to transition from research validation to commercial-scale execution across autonomous systems, robotics, and healthcare markets.

dorsaVi assembles world-class advisory board to commercialise ultra-edge technology

The dorsaVi Technical Advisory Board represents a deliberate technical chain connecting materials science, circuit design, and real-world robotics deployment. The company announced the appointment of Roger Peniche as Robotics Technical Advisor, Professor Wen Siang Lew as Advanced Memory Strategic Adviser, and Professor Shahar Kvatinsky as Neuromorphic and Processing-in-Memory Adviser.

The advisory structure aligns with dorsaVi’s advancement of its “Intelligence at the Ultra Edge” strategy, which integrates sensing, memory, and decision-making into compact silicon for deployment in robots, wearables, and autonomous systems. The combined expertise of the trio spans 25+ years each in their respective domains, addressing key commercial and technical risks as dorsaVi transitions RRAM-enabled neuromorphic platforms from laboratory environments to certified products.

Target markets include autonomous systems, robotics controllers, and healthcare wearables, where dorsaVi’s technology architecture aims to deliver microsecond-class response times, nanojoule-class energy consumption, and in-memory learning capabilities without cloud dependency.

Mathew Regan, Group Chief Executive Officer

“With the appointments of Roger, Professor Lew and Professor Kvatinsky, we’ve assembled a complementary advisory trio that gives us world-class guidance across the entire technology stack, from materials and device physics, through neuromorphic and Processing-in-Memory architectures, to real-world robotics deployment. That’s exactly the mix of experience we need to execute on our ‘Intelligence at the Ultra Edge’ strategy.”

For investors, the advisory board signals dorsaVi is prioritising execution capability alongside continued technical development. The structure reduces technology-to-market risk by covering each critical transition point from RRAM device fabrication through to regulatory compliance and OEM integration.

What is Intelligence at the Ultra Edge?

“Intelligence at the Ultra Edge” refers to dorsaVi’s architecture where sensing, memory, and decision-making functions are tightly integrated into a single chip, enabling devices to process data locally rather than relying on cloud infrastructure. This approach addresses key limitations in traditional systems that send sensor data to remote servers for analysis and decision-making.

The architecture delivers three core benefits for robotics and wearable applications:

1. Microsecond-class response times for safety-critical systems where latency between sensor input and actuator response must be minimised
2. Nanojoule-class energy consumption, drastically extending battery life in portable and wearable devices by reducing the power required for memory access and communication
3. In-memory computing, allowing sensors to learn patterns and adapt to specific environments locally without continuous connectivity to external processing infrastructure

For dorsaVi’s existing clinical and workplace motion analysis products, this translates to more sophisticated on-device analytics, extended operational time between charges, and reduced dependence on wireless connectivity. For future robotics applications, the architecture is positioned to enable local reflex loops and control policies that operate closer to the robot’s sensors and actuators, supporting real-time responses within tight power and thermal constraints.

The competitive advantage centres on eliminating the latency, power consumption, and connectivity requirements inherent in cloud-dependent architectures, particularly relevant for applications where real-time local processing is essential for safety, performance, or operational continuity.

Three experts covering the full technology stack

Roger Peniche (Robotics and market deployment)

Roger Peniche brings over 25 years of global experience in robotics, mechatronics, and advanced manufacturing to dorsaVi’s advisory board. He currently serves as Vice President of Engineering and Manufacturing at Omron Robotics, where he leads multi-disciplinary teams delivering high-precision manipulators and autonomous mobile robots (AMRs) for industrial and medical environments.

His professional background includes senior leadership roles at Signode (VP of R&D), Danaher/Fortive (VP of Engineering and Quality), and General Electric. At Signode, Peniche oversaw delivery of new products that drove approximately 20% vitality growth at roughly 15% lower cost whilst quadrupling patent generation through IP incentives and structured hackathons.

During a decade at Danaher, he implemented global collaboration frameworks that reduced costs whilst maintaining compliance in regulated environments, strengthening the reliability of FDA-regulated systems. This regulatory and biomedical expertise positions him to guide dorsaVi’s alignment with European market requirements, specifically the EU AI Act and Machinery Regulation.

At dorsaVi, Peniche will guide commercial and engineering development of RRAM-enabled robotics, transitioning the company’s core sensors from passive data capture to active, reflexive control systems for AMRs, collaborative robots (cobots), and other safety-critical platforms. His role includes preparing dorsaVi’s platforms for European market entry and ensuring RRAM-enabled robotic reflex and sensor modules meet genuine customer requirements whilst remaining straightforward to integrate into existing control stacks.

For investors, Peniche’s operational track record demonstrates capacity to translate technology into revenue-generating products. His European regulatory expertise opens a pathway to significant robotics market opportunities where compliance with stringent safety and AI governance frameworks is mandatory for commercial deployment.

Professor Shahar Kvatinsky (Neuromorphic and Processing-in-Memory architectures)

Professor Kvatinsky serves as Dean of the Viterbi Faculty of Electrical and Computer Engineering at Technion, Israel Institute of Technology, and is a global authority on emerging non-volatile memories, memristor/RRAM-based logic, and Processing-in-Memory (PIM) architectures.

He holds the Joan Goldberg Arbuse Chair in Electronics and leads the ASIC² research group and the Architectures and Circuits Research Centre (ACRC), both focused on next-generation circuits and architectures that tightly couple memory and compute. Kvatinsky pioneered memristor-based logic families including MAGIC and IMPLY, and developed compute-in-memory circuits that perform operations directly inside memory arrays, removing latency and energy bottlenecks inherent to traditional CPU-to-memory architectures.

His previous roles include Visiting Professor at the University of Toronto and Postdoctoral Fellow at Stanford University, with foundational experience in analog circuit design at Intel. At dorsaVi, Professor Kvatinsky will provide guidance on the architecture of the company’s neuromorphic Reflex Engine and PIM blocks, focusing on co-optimisation of RRAM devices, peripheral circuits, and neuromorphic algorithms to ensure the memory fabric is tuned for real-world sensing and edge-AI acceleration.

Kvatinsky’s expertise directly aligns with dorsaVi’s transition from laboratory-proven PIM and neuromorphic concepts to robust, synthesisable building blocks suitable for integration into real silicon. His guidance ensures dorsaVi’s neuromorphic algorithms, learning rules, and dataflows are co-designed with underlying RRAM devices and peripheral circuits, supporting reliable, certifiable performance in deployed robots, wearables, and industrial sensing platforms.

For investors, Kvatinsky’s involvement de-risks the critical step of translating research-grade neuromorphic IP into production-ready silicon designs that can operate within tight power and area budgets whilst interfacing cleanly with sensors, actuators, and safety systems.

Professor Wen Siang Lew (RRAM device physics and materials)

Professor Lew is an internationally recognised authority in resistive random-access memory (RRAM), memristive devices, and nanoelectronic materials, bringing over 25 years of experience from the University of Cambridge and Nanyang Technological University (NTU).

He has authored more than 300 peer-reviewed publications with over 4,500 citations and approximately 60,000 research reads, reflecting sustained leadership in RRAM switching physics, device reliability, and emerging non-volatile memory technologies. His work addresses resistive switching mechanisms, thin-film materials, device variability, endurance, and scaling behaviour critical to advanced-node and in-memory computing architectures.

At dorsaVi, Professor Lew will support advancement of the company’s 22 nm RRAM programme, developed with tier-one semiconductor partners, helping guide its progression from research-grade validation into full-scale device, system, and platform development. He will inform material and device choices to ensure alignment with downstream system-level and integration requirements across robotics, medical devices, and industrial sensing, whilst maintaining compatibility with mainstream CMOS manufacturing flows.

Professor Lew’s guidance ensures dorsaVi’s RRAM roadmap is grounded in volume manufacturing realities rather than headline performance metrics alone. His expertise addresses how material stack design and processing conditions translate into variability, endurance, and retention outcomes once devices are scaled and manufactured at volume.

For investors, Lew’s involvement is critical to balancing innovation with robustness, ensuring dorsaVi’s memory fabric can be fabricated repeatably, characterised rigorously, and trusted as the non-volatile backbone inside safety-critical systems. His focus on reliability and endurance directly supports dorsaVi’s ability to deploy RRAM technology in safety-certified robotics and medical applications where device failure rates and long-term data retention are material considerations.

How the unified technical chain creates commercial value

The three advisory domains connect into a single commercialisation pathway that addresses material risks across dorsaVi’s technology-to-market transition. The structure reduces execution risk by ensuring expertise coverage at each critical stage from device physics through to certified product deployment.

RRAM (Hardware foundation, led by Professor Lew): Provides high-speed, low-voltage, non-volatile memory arrays that support in-memory computation. The 22 nm RRAM programme under development with tier-one semiconductor partners serves as the dense, efficient storage and switching fabric enabling both traditional memory functions and computational operations within the array itself. Professor Lew’s guidance ensures material and device choices balance performance with manufacturability, variability control, and long-term reliability required for safety-critical applications.

Neuromorphic IP (Intelligence layer, led by Professor Kvatinsky): Acts as the computational “brain” using the RRAM fabric as a grid of artificial synapses. dorsaVi’s neuromorphic portfolio, centred on the Reflex Engine and Adaptive Interface, executes inference and adaptation in or near memory (Processing-in-Memory). The RRAM array functions as artificial synapses enabling the hardware to learn patterns, adapt over time, and make decisions locally rather than relying on distant servers. Kvatinsky’s expertise ensures neuromorphic algorithms and circuit designs are co-optimised with RRAM device characteristics for real-world sensing and edge-AI acceleration.

Deployment (Systems integration, led by Peniche): Translates RRAM and neuromorphic capabilities into commercial controllers and sensor modules. Peniche’s role encompasses integration into certified control stacks, alignment with customer requirements, and preparation for regulatory approval under frameworks including the EU AI Act and Machinery Regulation. This bridges the gap between laboratory-proven technology and products that can be manufactured, certified, and integrated into industrial, healthcare, and autonomous systems at scale.

Current clinical and workplace applications:

• Enhanced on-device motion and muscle analysis reducing cloud dependency
• Extended battery life through reduced memory and communication power consumption
• Richer biofeedback and continuous monitoring based on local event detection rather than raw data streaming

Future robotics and autonomous systems applications:

• Local reflex loops enabling controllers to respond within milliseconds
• Real-time sensor fusion (motion, force, muscle activity, environment) performed at the edge
• Intent-aligned motion and safety responses with on-device learning adapting to changing loads, surfaces, and environments
• Compliance with EU AI Act requirements for industrial and medical robotics deployment

For investors, the unified technical chain from materials science through to market deployment positions dorsaVi to capture value across the technology stack rather than being dependent on a single component or partnership. The advisory structure de-risks the transition by ensuring material choices, circuit designs, and system architectures are co-optimised from inception, reducing the probability of late-stage redesigns or integration failures that could delay commercialisation.

What comes next for dorsaVi

The dorsaVi Technical Advisory Board will guide the company’s transition from research-grade validation to full-scale commercial rollout of RRAM-enabled neuromorphic sensor and robotics platforms. The 22 nm RRAM development continues with tier-one semiconductor partners, progressing from device validation into platform-level integration for both current clinical/workplace products and future robotics controllers.

The neuromorphic Reflex Engine and Adaptive Interface are positioned as the intelligence layer for dorsaVi’s product roadmap, supporting enhanced gait and posture analytics in existing wearable solutions whilst enabling real-time sensor fusion, safety responses, and on-device learning in future robotics and autonomous systems applications.

European market preparation is underway with alignment to EU AI Act and Machinery Regulation requirements, opening pathways to industrial and medical robotics opportunities where regulatory compliance is mandatory for commercial deployment. Peniche’s regulatory expertise and Omron Robotics network position dorsaVi to pursue partnerships with robotics OEMs and system integrators in Europe and globally.

For investors, the advisory appointments indicate dorsaVi is prioritising execution capability alongside continued technical development. The company is positioned to pursue robotics and autonomous systems opportunities as these markets scale commercially, with the advisory board structure reducing technology-to-market risk across the critical transition from laboratory validation to certified, revenue-generating products.

(1,198 words)

Don’t Miss the Next Tech Breakthrough

Join 20,000+ investors receiving FREE breaking ASX news delivered within minutes of release, complete with in-depth analysis. Click the “Free Alerts” button at Big News Blast to stay ahead on emerging technology stories the moment they break—no cloud delays, just instant market intelligence in your inbox.