BrainChip secures $25m for edge AI push
BrainChip has raised $25m to accelerate development and commercialization of its neuromorphic edge AI technology, just weeks ahead of CES. The funding will scale new chip and module products around the Akida platform, with a strong focus on on-device GenAI and ultra-low power operation.
The news signals faster availability of neuromorphic silicon and modules that reduce power, latency, and cloud dependence — key challenges across industrial IoT, robotics, and smart devices.
Funding fuels Akida roadmap
The California-based company said the capital raise will be used to advance Akida 2 chip development and Akida GenAI models, while expanding its product portfolio beyond individual chips into modules targeting real-world deployments. BrainChip aims to capture a share of the neuromorphic computing market, which Grand View Research projects will reach $20.27bn by 2030 with a CAGR of nearly 20%.
“Our capital raise positions BrainChip to further build its lead in edge AI and neuromorphic computing,” said CEO Sean Hehir. “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.”
CES demos highlight edge GenAI
At CES, BrainChip will demonstrate how the new funding translates into products and partnerships. One focus is the AKD1500, an ultra-compact edge AI chip aimed at sensors, medical devices, and wearables, where low BOM cost and minimal power budgets are critical. The company says the chip supports on-device large language models using its TENNs architecture, enabling real-time and private GenAI without sending data to the cloud.
The Akida 2 platform backs these devices and adds low-power on-device learning, targeting applications that need adaptive intelligence at the edge rather than fixed inference.
BrainChip will also show partner demos, including HaiLa Technologies combining ultra-low power Bluetooth and Wi-Fi with the AKD1500 for wearable visual classification. Deep Perception will demonstrate a full visual compute pipeline using the AKD1000 for drones and mobile devices, while Quantum Ventura will run its Neuro RT cybersecurity model on the Akida Edge AI Box to protect small office networks.
The company will host demos and meetings throughout CES from its suite in the Venetian Tower, underscoring its intent to convert increased investor backing into near-term commercial traction in edge AI hardware and software.
If you enjoyed this article, you will like the following ones: don't miss them by subscribing to :
