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BrainChip Holdings Ltd. introduces Sequora Core IP

Source Decision Insights Record Published October 14, 2026 Companies 1
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4th article in the last 90 days, one of 5 articles referencing BrainChip. Previous coverage: BrainChip Holdings Ltd. Introduces AKD1500 PCIe Development Card (Sep 2026).

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BrainChip Holdings Ltd. has introduced Sequora Core IP, a product that brings generative AI, including large language models, to battery-powered edge devices. The product targets a memory and power bottleneck that has kept generative AI off battery-powered devices such as earbuds and sensor nodes.

BrainChip describes Sequora as the next step in its edge AI roadmap, building on the Akida platform. The company says the design allows devices that could once only recognize a signal to interpret, explain, and respond at the power levels customers expect from BrainChip. Application areas cited include consumer voice and wearables, aerospace and defense, automotive and industrial radar, industrial IoT, and medical and biomedical devices.

Sequora uses a state-space design that keeps memory use fixed no matter how long a data stream or conversation runs, and it scales from models of a few million parameters up to 3 billion. Paired with Akida, which processes streaming sensor data such as vibration, audio, radar, raw radio-frequency IQ data, and biological signals, Sequora runs generative and sequential AI, including on-device LLMs, voice-to-voice interaction, and AI agents.

Sequora is available now as licensable semiconductor IP. Customers integrate the design into their own system-on-chip (SoC) and manufacture it at the foundry and process node they choose. The design is delivered as process-portable, fully synthesizable register-transfer level (RTL) code, with a Sequora package that includes verification IP and testbench, synthesis scripts and timing constraints, and an SDK with a static graph compiler, a C++ runtime library, and a model zoo.

“Our commercial and aerospace/defense customers are designing AI into many of the next-generation edge systems that provide real-time processing and decision-making in congested and contested environments with minimal footprint in size, weight and power,” said Frank Ferrante, chief executive officer at ForwardEdge ASIC.

“The edge is where AI becomes useful in everyday infrastructure, from utility meters to mobility systems,” said Jay Kim, CEO of edgeAI Inc. “Customers are not asking for just a signal classifier or a language model,” said Sean Hehir, chief executive officer, BrainChip.

Press release, provided by Globe Newswire on behalf of BrainChip. Read the original.

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