BrainChip Holdings Ltd., a developer of ultra-low-power, fully digital, event-based neuromorphic AI, has secured a $25 million capital raise to advance the development and commercialization of its neuromorphic AI technology and expand its product offerings in chips and modules.
This funding supports BrainChip’s strategy to increase its market share in the global neuromorphic computing sector. Grand View Research projects this market to reach USD 20.27 billion by 2030, with a compound annual growth rate of 19.9% from 2024 to 2030.
The capital raise will enable several initiatives, including the development of AKD1500 modules for AI in rugged industrial PC deployments, always-on capabilities with Pico evaluations on Akida Cloud, and AI-powered cybersecurity through a partnership with Quantum Ventura. BrainChip also plans to implement its 1.2 B LLM on-device in mobile and embedded devices. These advancements will be showcased at CES.
Sean Hehir, CEO of BrainChip, stated, “Our capital raise positions BrainChip to further build its lead in edge AI and neuromorphic computing. Investor support lets us advance Akida 2 chip development and Akida GenAI model development. We can expand into new commercial opportunities through chip and module products that provide real-time, on-device AI with ultra-low power and no cloud dependency. CES is the ideal stage to showcase our growth trajectory, our consistent groundbreaking innovations and our growing product portfolio.”
The AKD1500 chip, designed for on-edge devices, powers BrainChip’s AKD1500 modules and Akida GenAI. It is suitable for sensors, medical devices, and wearables, offering low development and production costs. The Akida GenAI capabilities support on-device Large Language Models (LLMs) through advanced Temporal Event-based Neural Networks (TENNs) models, which enable real-time and private Generative AI for secure platforms.
Underpinning these device and model advancements is BrainChip’s Akida 2 platform, designed to facilitate low-power on-device learning. The Akida 2 platform aims to provide efficient and flexible on-device intelligence for a range of edge applications.
At CES, BrainChip will conduct demonstrations of the AKD1500 and AKD1000 in collaboration with partners. HaiLa Technologies will present ultra-low power Bluetooth and Wi-Fi integration with the AKD1500 for wearable visual classification. Deep Perception will demonstrate a visual compute pipeline using the AKD1000 for drones and mobile devices. Quantum Ventura will showcase its Neuro RT cybersecurity model operating on the Akida Edge AI Box, illustrating its capability to protect small office networks.
BrainChip, headquartered in Laguna Hills, California, specializes in Edge AI on-chip processing and learning. The company’s Akida processor utilizes neuromorphic principles to emulate the human brain, processing essential sensor inputs at the point of acquisition with efficiency, precision, and energy economy. Its TENNs, built on State-Space Models (SSMs), provide time-sensitive, event-driven frameworks for real-time streaming applications, making low-power Edge AI viable across sectors such as aerospace, autonomous vehicles, robotics, industrial IoT, consumer devices, and wearables.
