There are 6 companies in the BRN front page scroll:
Chelpis for the M2 cybersecurity PCB;
Andes RISC-V AI acceleration;
Prophesee DVS;
Frontgarde Grain space neuromorphic AI;
RTX AFRL radar;
Onsor AI medical epileptic monitor.
The following extracts from the BRN website are informative when seen collectively.
Chelpis -
Laguna Hills, Calif. – April 28th, 2025 – BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI, today announced that Chelpis Quantum Corp. has selected its Akida AKD1000 chips to serve as the processor for built-in post-quantum cryptographic security. Chelpis, a chip company leading the Quantum Safe Migration ecosystem in Taiwan, is developing an M.2 card using the AKD1000 that can be inserted into targeted products to support their cryptographic security solutions. The M.2 card is based on a design from BrainChip along with an agreement to purchase a significant number of AKD1000 chips for qualification and deployment. Upon completion of this phase, Chelpis is planning to increase its commitment with additional orders for the AKD1000.
This agreement is the first step in a collaboration that is exploring the development of an AI-PQC robotic chip designed to fulfill both next-generation security and AI computing requirements. This project is a joint development effort with Chelpis partner company Mirle (2464.TW) and has been formally submitted for consideration under Taiwan’s chip innovation program. The funding aims to promote a new system-on-chip (SoC) integrating RISC-V, PQC, and NPU technologies. This SoC will specifically support manufacturing markets that emphasize a Made-in-USA strategy. Mirle plans to build autonomous quadruped robotics that mimic the movement of four-legged animals for industrial/factory environments. To enable this vision, Chelpis is exploring BrainChip’s advanced Akida™ IP to incorporate advanced visual GenAI capabilities in the proposed SoC design.
I wonder if there is any link to the DoE Quantum Ventura CyberNeuro-RT project which also uses the Akida 1000 chip on an M2 card?
ANDES -
Laguna Hills, Calif. – April 23, 2025 – BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based, brain-inspired AI, today announced the integration of its NPUs with RISC-V cores from Andes Technology, the industry leading provider of RISC-V embedded cores. The companies will demonstrate BrainChip’s Akida™ AKD1500 on Andes’ QiLai Voyager Board and AndesCore™ AX45MP 64-bit multicore CPU IP at Andes RISC-V Con 2025 in San Jose, Calif. April 29 and in Hsinchu, Taiwan June 10.
The AKD1500 demonstrates the benefits of Akida’s pure digital, extremely energy-efficient, event-based AI computation for at-sensor or sensor-balanced solutions for AI, application processors, automotive electronics and security markets. The QiLai SoC and the Voyager development board further accelerates the development and porting of large RISC-V applications. Integrating BrainChip’s Akida technology and Andes’ high-performance QiLai SoC and Voyager development board provides a highly efficient solution for integrated edge AI compute and further expands the RISC-V ecosystem.
The BrainChip AKD1500 device is integrated into the Voyager development board using an M.2 card form factor. It delivers over 0.7 TOPS of event-based computing while consuming less than 250mW, achieving performance comparable to conventional CNN processing using 3–10× less compute. This demonstrates a cost and power-efficient path for integrating RISC-V SoCs, operating at a fraction of the power required by traditional AI accelerators. Akida is an event-based technology that is inherently lower power than conventional neural network accelerators, providing energy efficiency with high performance for partners to deliver AI solutions previously not possible on battery-operated or fan-less embedded, edge devices.
The Andes QiLai SoC chip incorporates a high-performance quad-core RISC-V AX45MP cluster. The AndesCore AX45MP is a superscalar, multicore design featuring a shared Level-2 cache, a coherence manager and a Memory Management Unit (MMU) to support Linux-based applications. Equipped with IOCP (I/O Coherency Port) interface, the AX45MP enables external hardware DMA to interact directly with the cache/memory subsystem, facilitating seamless communication between the AX45MP and high-speed modules like NPUs, GPUs and Gigabit Ethernet. Built on TSMC’s 7nm process technology, the AX45MP achieves clock speeds of up to 2.2 GHz on QiLai SoC. With higher Specint2006 performance than Cortex A55, high-clock frequency and multi-core Linux capabilities, the AX45MP has been very popular as Linux AP on various applications.
ANDES uses the Akida 1500 device also on an M2 card.
Prophesee/Arquimea -
Arquimea has deployed Akida with a Prophesee camera on a drone to detect distressed swimmers and surfers in the ocean helping lifeguards scale their services for large beach areas, opting for an event-based computing solution for its superior efficiency and consistently high-quality results.
BrainChip has teamed up with Prophesee, an event-based vision sensing and AI company, to produce a complete event-based sense and compute solution.
This integration allows vision data to be processed directly by Akida without the need for conversion into traditional frame-based formats, as required by conventional computer vision algorithms.
By computing the naturally sparse data output from the camera efficiently, the system eliminates unnecessary padding, reducing latency for faster detection while minimizing computational demands and power consumption.
The Details provided with the Prophesee link also refer to the use of Akida with lidar and radar as well as the use of DVS with frame cameras.
Again, while not expressly stated, an M2 board would be suitable for drones because of the size and standardized pinout.
FRONTGRADE -
The GR801 combines Gaisler’s NOEL-V RISC-V processor with the Akida neuromorphic AI processor into a single integrated circuit, facilitating energy-efficient AI applications in space. Sweden’s Royal Institute of Technology (KTH) is contributing to this initiative by designing a demonstration application that utilises a neuromorphic sensor directly connected to Gaisler’s new GR801 device.
Frontgrade are using Akida IP to develop a SoC incorporating Akida together with a NOEL-V RISC-V processor. This means that FG will be adapting the Akida architecture to maximize RadHard.
RTX (Raytheon)
Laguna Hills, Calif. – April 1st, 2025 – BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI, today announced that it is partnering with Raytheon, an RTX (NYSE: RTX) business, to service a contract for $1.8M from the Air Force Research Laboratory on neuromorphic radar signaling processing.
Raytheon will deliver services and support as a partner with BrainChip for the completion of the contract award. The Air Force Research Labs contract, under the topic number AF242-D015, is titled “Mapping Complex Sensor Signal Processing Algorithms onto Neuromorphic Chips.” The project focuses on a specific type of radar processing known as micro-Doppler signature analysis, which offers unprecedented activity discrimination capabilities.
Neuromorphic hardware represents a low-power solution for edge devices, consuming significantly less energy than traditional computing hardware for signal processing and artificial intelligence tasks. If successful, this project could embed sophisticated radar processing solutions in power-constrained and thermally constrained weapon systems, such as missiles, drones and drone defense systems.
BrainChip’s Akida™ processor is a revolutionary computing architecture that is designed to process neural networks and machine learning algorithms at ultra-low power consumption, making it ideal for edge computing applications. The company’s neuromorphic technology improves the cognitive communication capabilities on size, weight and power & cost (SWaP-C)-constrained platforms such as military, spacecraft and robotics for commercial and government markets.
“Radar signaling processing will be implemented on ever-smaller mobile platforms, so minimizing system SWaP-C is critical,” said Sean Hehir, CEO of BrainChip. “This improved radar signaling performance per watt for the Air Force Research Laboratory showcases how neuromorphic computing can achieve significant benefits in the most mission-critical use cases.”
I'm guessing that RTX has the data for the models for micro-Doppler signatures, and the project will be to adapt this data into models to run on Akida.
Note that Akida GenAi and Akida 3 are being adapted to avoid he necessity of adapting other models for Akida. Also these prospective Akida designs will also run INT16 and FP 32, which will provide greater accuracy, which may be needed for micro-Doppler.
ONSOR -
Onsor Technologies has revolutionized seizure management with its AI-powered wearable solution, powered by BrainChip’s Akida neuromorphic computing platform. This groundbreaking innovation provides an early warning system for epileptic seizures—empowering users to take control of their health and well-being like never before.
Onsor’s breakthrough comes in the form of AI-enabled smart glasses that continuously analyze real-time sensor data using a custom-trained AI model running on the ultra-efficient Akida neuromorphic processor. This self-contained, edge AI solution operates independently while eliminating the need for network connectivity, subscriptions, or bulky external devices.
When a seizure risk is detected, instant alerts are sent to the user and their caregivers via a mobile device, enabling timely intervention and proactive care.
The arms of the glasses include electrodes to detect brainwave activity which presages an attack.
Chelpis for the M2 cybersecurity PCB;
Andes RISC-V AI acceleration;
Prophesee DVS;
Frontgarde Grain space neuromorphic AI;
RTX AFRL radar;
Onsor AI medical epileptic monitor.
The following extracts from the BRN website are informative when seen collectively.
Chelpis -
Laguna Hills, Calif. – April 28th, 2025 – BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI, today announced that Chelpis Quantum Corp. has selected its Akida AKD1000 chips to serve as the processor for built-in post-quantum cryptographic security. Chelpis, a chip company leading the Quantum Safe Migration ecosystem in Taiwan, is developing an M.2 card using the AKD1000 that can be inserted into targeted products to support their cryptographic security solutions. The M.2 card is based on a design from BrainChip along with an agreement to purchase a significant number of AKD1000 chips for qualification and deployment. Upon completion of this phase, Chelpis is planning to increase its commitment with additional orders for the AKD1000.
This agreement is the first step in a collaboration that is exploring the development of an AI-PQC robotic chip designed to fulfill both next-generation security and AI computing requirements. This project is a joint development effort with Chelpis partner company Mirle (2464.TW) and has been formally submitted for consideration under Taiwan’s chip innovation program. The funding aims to promote a new system-on-chip (SoC) integrating RISC-V, PQC, and NPU technologies. This SoC will specifically support manufacturing markets that emphasize a Made-in-USA strategy. Mirle plans to build autonomous quadruped robotics that mimic the movement of four-legged animals for industrial/factory environments. To enable this vision, Chelpis is exploring BrainChip’s advanced Akida™ IP to incorporate advanced visual GenAI capabilities in the proposed SoC design.
I wonder if there is any link to the DoE Quantum Ventura CyberNeuro-RT project which also uses the Akida 1000 chip on an M2 card?
ANDES -
Laguna Hills, Calif. – April 23, 2025 – BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based, brain-inspired AI, today announced the integration of its NPUs with RISC-V cores from Andes Technology, the industry leading provider of RISC-V embedded cores. The companies will demonstrate BrainChip’s Akida™ AKD1500 on Andes’ QiLai Voyager Board and AndesCore™ AX45MP 64-bit multicore CPU IP at Andes RISC-V Con 2025 in San Jose, Calif. April 29 and in Hsinchu, Taiwan June 10.
The AKD1500 demonstrates the benefits of Akida’s pure digital, extremely energy-efficient, event-based AI computation for at-sensor or sensor-balanced solutions for AI, application processors, automotive electronics and security markets. The QiLai SoC and the Voyager development board further accelerates the development and porting of large RISC-V applications. Integrating BrainChip’s Akida technology and Andes’ high-performance QiLai SoC and Voyager development board provides a highly efficient solution for integrated edge AI compute and further expands the RISC-V ecosystem.
The BrainChip AKD1500 device is integrated into the Voyager development board using an M.2 card form factor. It delivers over 0.7 TOPS of event-based computing while consuming less than 250mW, achieving performance comparable to conventional CNN processing using 3–10× less compute. This demonstrates a cost and power-efficient path for integrating RISC-V SoCs, operating at a fraction of the power required by traditional AI accelerators. Akida is an event-based technology that is inherently lower power than conventional neural network accelerators, providing energy efficiency with high performance for partners to deliver AI solutions previously not possible on battery-operated or fan-less embedded, edge devices.
The Andes QiLai SoC chip incorporates a high-performance quad-core RISC-V AX45MP cluster. The AndesCore AX45MP is a superscalar, multicore design featuring a shared Level-2 cache, a coherence manager and a Memory Management Unit (MMU) to support Linux-based applications. Equipped with IOCP (I/O Coherency Port) interface, the AX45MP enables external hardware DMA to interact directly with the cache/memory subsystem, facilitating seamless communication between the AX45MP and high-speed modules like NPUs, GPUs and Gigabit Ethernet. Built on TSMC’s 7nm process technology, the AX45MP achieves clock speeds of up to 2.2 GHz on QiLai SoC. With higher Specint2006 performance than Cortex A55, high-clock frequency and multi-core Linux capabilities, the AX45MP has been very popular as Linux AP on various applications.
ANDES uses the Akida 1500 device also on an M2 card.
Prophesee/Arquimea -
Enhancing Ocean Safety with Efficient AI-Powered Detection
Arquimea has deployed Akida with a Prophesee camera on a drone to detect distressed swimmers and surfers in the ocean helping lifeguards scale their services for large beach areas, opting for an event-based computing solution for its superior efficiency and consistently high-quality results.
BrainChip has teamed up with Prophesee, an event-based vision sensing and AI company, to produce a complete event-based sense and compute solution.
This integration allows vision data to be processed directly by Akida without the need for conversion into traditional frame-based formats, as required by conventional computer vision algorithms.
By computing the naturally sparse data output from the camera efficiently, the system eliminates unnecessary padding, reducing latency for faster detection while minimizing computational demands and power consumption.
The Details provided with the Prophesee link also refer to the use of Akida with lidar and radar as well as the use of DVS with frame cameras.
Again, while not expressly stated, an M2 board would be suitable for drones because of the size and standardized pinout.
FRONTGRADE -
The Swedish National Space Agency (SNSA) has awarded Frontgrade Gaisler, a leading provider of radiation-hardened microprocessors for space missions, a contract to commercialise the first neuromorphic System on Chip (SoC) device for space applications. The device, which is currently under development at Frontgrade Gaisler, is part of the recently announced GRAIN (Gaisler Research Artificial Intelligence NOEL-V) product line.
The first GRAIN device in the product line is the Gr801 SoC, which integrates Akida™ neuromorphic technology from BrainChip, the first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI.The GR801 combines Gaisler’s NOEL-V RISC-V processor with the Akida neuromorphic AI processor into a single integrated circuit, facilitating energy-efficient AI applications in space. Sweden’s Royal Institute of Technology (KTH) is contributing to this initiative by designing a demonstration application that utilises a neuromorphic sensor directly connected to Gaisler’s new GR801 device.
Frontgrade are using Akida IP to develop a SoC incorporating Akida together with a NOEL-V RISC-V processor. This means that FG will be adapting the Akida architecture to maximize RadHard.
RTX (Raytheon)
Laguna Hills, Calif. – April 1st, 2025 – BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI, today announced that it is partnering with Raytheon, an RTX (NYSE: RTX) business, to service a contract for $1.8M from the Air Force Research Laboratory on neuromorphic radar signaling processing.
Raytheon will deliver services and support as a partner with BrainChip for the completion of the contract award. The Air Force Research Labs contract, under the topic number AF242-D015, is titled “Mapping Complex Sensor Signal Processing Algorithms onto Neuromorphic Chips.” The project focuses on a specific type of radar processing known as micro-Doppler signature analysis, which offers unprecedented activity discrimination capabilities.
Neuromorphic hardware represents a low-power solution for edge devices, consuming significantly less energy than traditional computing hardware for signal processing and artificial intelligence tasks. If successful, this project could embed sophisticated radar processing solutions in power-constrained and thermally constrained weapon systems, such as missiles, drones and drone defense systems.
BrainChip’s Akida™ processor is a revolutionary computing architecture that is designed to process neural networks and machine learning algorithms at ultra-low power consumption, making it ideal for edge computing applications. The company’s neuromorphic technology improves the cognitive communication capabilities on size, weight and power & cost (SWaP-C)-constrained platforms such as military, spacecraft and robotics for commercial and government markets.
“Radar signaling processing will be implemented on ever-smaller mobile platforms, so minimizing system SWaP-C is critical,” said Sean Hehir, CEO of BrainChip. “This improved radar signaling performance per watt for the Air Force Research Laboratory showcases how neuromorphic computing can achieve significant benefits in the most mission-critical use cases.”
I'm guessing that RTX has the data for the models for micro-Doppler signatures, and the project will be to adapt this data into models to run on Akida.
Note that Akida GenAi and Akida 3 are being adapted to avoid he necessity of adapting other models for Akida. Also these prospective Akida designs will also run INT16 and FP 32, which will provide greater accuracy, which may be needed for micro-Doppler.
ONSOR -
Onsor Technologies has revolutionized seizure management with its AI-powered wearable solution, powered by BrainChip’s Akida neuromorphic computing platform. This groundbreaking innovation provides an early warning system for epileptic seizures—empowering users to take control of their health and well-being like never before.
Onsor’s breakthrough comes in the form of AI-enabled smart glasses that continuously analyze real-time sensor data using a custom-trained AI model running on the ultra-efficient Akida neuromorphic processor. This self-contained, edge AI solution operates independently while eliminating the need for network connectivity, subscriptions, or bulky external devices.
When a seizure risk is detected, instant alerts are sent to the user and their caregivers via a mobile device, enabling timely intervention and proactive care.
The arms of the glasses include electrodes to detect brainwave activity which presages an attack.
