BrainChip Holdings Ltd., the world’s first commercial producer of ultra-low-power, fully digital, event-based neuromorphic AI, has secured USD 25 million to accelerate product development and commercialization ahead of CES 2026. The funding marks a significant boost for the company’s ambitions in edge AI and neuromorphic computing, areas gaining momentum as demand increases for devices capable of real-time, secure, on-device intelligence without reliance on the cloud. Global interest in neuromorphic computing continues to expand, with Grand View Research projecting the market to reach USD 20.27 billion by 2030, growing at nearly 20% annually.
The fresh capital enables BrainChip to broaden its portfolio of chips and modules, positioning it to serve a wider range of edge-driven markets. At CES, the company plans to demonstrate how the investment strengthens its roadmap and fuels new capabilities across rugged industrial systems, cybersecurity, wearables, mobile AI, and embedded computing. Among the featured technologies will be the AKD1500 modules, engineered for harsh and industrial environments and designed to bring neuromorphic AI to Industrial PCs and remote deployments. BrainChip will also showcase its always-on, ultra-low-power sensing enabled through Pico evaluations on the Akida Cloud platform.
A significant highlight is BrainChip’s progress in bringing large-language-model capabilities directly to edge devices. The company’s 1.2-billion-parameter LLM is now designed to run on mobile and embedded systems using Akida technology. This approach enables privacy-preserving, real-time inference without the energy and connectivity requirements of cloud-based processing. In cybersecurity, BrainChip will demonstrate its collaboration with Quantum Ventura, featuring AI-powered threat detection models running locally on the Akida Edge AI Box.
CEO Sean Hehir said the capital raise positions the company to strengthen its lead in neuromorphic computing. The investment will support the development of next-generation Akida 2 chips and the expansion of Akida GenAI models. Hehir noted that the funding also allows BrainChip to pursue broader commercial opportunities where ultra-low-power, on-device AI is becoming increasingly essential for differentiation and scalability.
The company will also highlight capabilities of the AKD1500 chip, designed for sensors, medical devices, and wearables, offering compact, cost-efficient on-edge AI. BrainChip’s newest TENNs-based GenAI model supports secure on-device LLM functionality needed for next-generation mobile and industrial platforms. These hardware and model advancements are anchored by the Akida 2 platform, which enables flexible, efficient edge learning across a diverse set of applications.
