{"success":true,"data":{"pressRelease":{"id":"169012","rtpr_id":"nGNE12M8hF-20261014","ticker":"BRN","exchange":"ASX","all_tickers":["BRN"],"title":"BrainChip Launches Sequora: Edge AI That Doesn't Just Recognize — It Understands and Responds","author":"Globe Newswire","published_at":"2026-10-14T13:00:00.549Z","article_body":"Sequora extends BrainChip’s proven ultra-low-power, always-on sensing\nadvantage to generative AI\n\nLAGUNA HILLS, Calif., Oct. 14, 2026 (GLOBE NEWSWIRE) -- BrainChip Holdings Ltd\n(https://www.globenewswire.com/Tracker?data=xftmPKnX05p6yn7-C6I8diHHcelTfUrRmkgSb9pOGpSSPOPHv5kPj_tgj6g8hgZJOILyyEe0pkcpqp6LCFbTQqQuA0xVODG6ljOVMkJGlJA=).\n(ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), a global leader in ultra-low-power,\nfully digital, event-based neuromorphic AI, today announced BrainChip\nSequora(™) Core IP, a processor IP core that runs generative AI, including\nlarge language models (LLMs), directly on battery-powered edge devices.\n\nThe next step in BrainChip's edge AI roadmap, Sequora builds on the strengths\nof the company's Akida(™) platform. Its efficiency comes from model\nstructure: a state-space design keeps memory use fixed no matter how long the\ndata stream or conversation runs. As a result, Sequora scales from models of a\nfew million parameters up to 3 billion. Devices that once could only recognize\na signal can now understand, explain and respond — at the power levels\ncustomers expect from BrainChip.\n\n\"Our commercial and aerospace/defense customers are designing AI into many of\nthe next-generation edge systems that provide real-time processing and\ndecision-making in congested and contested environments with minimal footprint\nin size, weight and power,\" said Frank Ferrante, chief executive officer at\nForwardEdge ASIC. \"Sequora puts generative AI in a low-power IP core that\nfits many of the demands of the custom silicon we build. It gives us a path to\nadd on-device intelligence to mission-critical edge ASICs.\"\n\nWhat Sequora Does\n\nSequora removes the memory and power bottleneck that has kept generative AI\nout of battery-powered devices such as earbuds and sensor nodes. Paired with\nAkida, it brings two workloads together in one solution: Akida processes\nstreaming sensor data — vibration, audio, radar, raw radio-frequency (RF) IQ\ndata and biological signals — while Sequora runs generative and sequential\nAI, including on-device LLMs, voice-to-voice interaction and AI agents.\n\nMarkets from consumer voice and wearables to aerospace and defense, automotive\nand industrial radar, industrial IoT, and medical and biomedical devices need\nconventional inference and generative inference in the same product.\n\n\"The edge is where AI becomes useful in everyday infrastructure, from utility\nmeters to mobility systems,\" said Jay Kim, CEO of edgeAI Inc. \"BrainChip saw\nearly that efficiency would decide who wins at the edge. Now they're applying\nthat same thinking to generative AI, bringing language and reasoning\ncapabilities to devices that run on a small battery.\"\n\nKey challenges Sequora addresses:\n* Generative models stall on memory bandwidth\n* Per-word cost that climbs as the conversation (context window) and its cache\ngrow\n* Memory traffic caps model size on battery power\n* Make run-time branching predictable for automotive, medical and avionics\ncertification\n* On-device per-query latency and privacy\nSensing and Generative AI on One Device, One Battery\n\n“Customers are not asking for just a signal classifier or a language\nmodel,” said Sean Hehir, chief executive officer, BrainChip. “They want\nboth, in the same product, on the same battery. Akida and Sequora together\ndeliver exactly that.”\n\nBecause Sequora runs generative and sequential AI without sending data off the\ndevice, it addresses a growing market priority: keeping data and AI models\nsovereign while minimizing size, weight and power.\n\nAvailability\n\nSequora is available now as licensable semiconductor IP. Customers integrate\nthe design into their own system-on-chip (SoC) and manufacture it at the\nfoundry and process node of their choice. Delivered as process-portable, fully\nsynthesizable register-transfer level (RTL) code, the Sequora package includes\nverification IP and testbench, synthesis scripts and timing constraints, and\nan SDK with a static graph compiler, a C++ runtime library and a model zoo.\n\nAbout BrainChip Holdings Ltd.\n\nBrainChip\n(https://www.globenewswire.com/Tracker?data=xftmPKnX05p6yn7-C6I8dmYx2KpCrvBXVU9YYGRNBN2NO4HEy2w4EFez3mRfXk-DgpWqJBaczHgKl3w95H1WJg==)\nis the worldwide leader in edge AI on-chip processing and learning. The\ncompany’s first-to-market, fully digital, event-based AI processor,\nAkida(™), uses neuromorphic principles to analyze only essential sensor\ninputs at the point of acquisition, processing data with unmatched efficiency,\nprecision and energy economy. BrainChip’s Sequora(™) is an efficient\ndigital AI processor for GenAI and other large models using state-space\narchitectures. BrainChip’s technology is deployed across industries\nincluding aerospace, defense, industrial IoT, healthcare, consumer devices,\nand wearables. Explore more at www.brainchip.com.\n\nFollow BrainChip:\n\nX: https://www.twitter.com/BrainChip_inc\n\nLinkedIn: https://www.linkedin.com/company/7792006\n\nInvestor Contact\n\nIR@brainchip.com\n\nMedia Contact\n\nMaddie Coe\n\nPRforBrainchip@bospar.com\n\n(© 2026 BrainChip Holdings Ltd. All rights reserved. Internal use only)","article_body_html":"","raw_payload":{"data":{"id":"nGNE12M8hF-20261014","title":"BrainChip Launches Sequora: Edge AI That Doesn't Just Recognize — It Understands and Responds","author":"Globe Newswire","ticker":"BRN","created":"2026-10-14T13:00:00.549Z","tickers":["BRN"],"exchange":"ASX","article_body":"Sequora extends BrainChip’s proven ultra-low-power, always-on sensing\nadvantage to generative AI\n\nLAGUNA HILLS, Calif., Oct. 14, 2026 (GLOBE NEWSWIRE) -- BrainChip Holdings Ltd\n(https://www.globenewswire.com/Tracker?data=xftmPKnX05p6yn7-C6I8diHHcelTfUrRmkgSb9pOGpSSPOPHv5kPj_tgj6g8hgZJOILyyEe0pkcpqp6LCFbTQqQuA0xVODG6ljOVMkJGlJA=).\n(ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), a global leader in ultra-low-power,\nfully digital, event-based neuromorphic AI, today announced BrainChip\nSequora(™) Core IP, a processor IP core that runs generative AI, including\nlarge language models (LLMs), directly on battery-powered edge devices.\n\nThe next step in BrainChip's edge AI roadmap, Sequora builds on the strengths\nof the company's Akida(™) platform. Its efficiency comes from model\nstructure: a state-space design keeps memory use fixed no matter how long the\ndata stream or conversation runs. As a result, Sequora scales from models of a\nfew million parameters up to 3 billion. Devices that once could only recognize\na signal can now understand, explain and respond — at the power levels\ncustomers expect from BrainChip.\n\n\"Our commercial and aerospace/defense customers are designing AI into many of\nthe next-generation edge systems that provide real-time processing and\ndecision-making in congested and contested environments with minimal footprint\nin size, weight and power,\" said Frank Ferrante, chief executive officer at\nForwardEdge ASIC. \"Sequora puts generative AI in a low-power IP core that\nfits many of the demands of the custom silicon we build. It gives us a path to\nadd on-device intelligence to mission-critical edge ASICs.\"\n\nWhat Sequora Does\n\nSequora removes the memory and power bottleneck that has kept generative AI\nout of battery-powered devices such as earbuds and sensor nodes. Paired with\nAkida, it brings two workloads together in one solution: Akida processes\nstreaming sensor data — vibration, audio, radar, raw radio-frequency (RF) IQ\ndata and biological signals — while Sequora runs generative and sequential\nAI, including on-device LLMs, voice-to-voice interaction and AI agents.\n\nMarkets from consumer voice and wearables to aerospace and defense, automotive\nand industrial radar, industrial IoT, and medical and biomedical devices need\nconventional inference and generative inference in the same product.\n\n\"The edge is where AI becomes useful in everyday infrastructure, from utility\nmeters to mobility systems,\" said Jay Kim, CEO of edgeAI Inc. \"BrainChip saw\nearly that efficiency would decide who wins at the edge. Now they're applying\nthat same thinking to generative AI, bringing language and reasoning\ncapabilities to devices that run on a small battery.\"\n\nKey challenges Sequora addresses:\n* Generative models stall on memory bandwidth\n* Per-word cost that climbs as the conversation (context window) and its cache\ngrow\n* Memory traffic caps model size on battery power\n* Make run-time branching predictable for automotive, medical and avionics\ncertification\n* On-device per-query latency and privacy\nSensing and Generative AI on One Device, One Battery\n\n“Customers are not asking for just a signal classifier or a language\nmodel,” said Sean Hehir, chief executive officer, BrainChip. “They want\nboth, in the same product, on the same battery. Akida and Sequora together\ndeliver exactly that.”\n\nBecause Sequora runs generative and sequential AI without sending data off the\ndevice, it addresses a growing market priority: keeping data and AI models\nsovereign while minimizing size, weight and power.\n\nAvailability\n\nSequora is available now as licensable semiconductor IP. Customers integrate\nthe design into their own system-on-chip (SoC) and manufacture it at the\nfoundry and process node of their choice. Delivered as process-portable, fully\nsynthesizable register-transfer level (RTL) code, the Sequora package includes\nverification IP and testbench, synthesis scripts and timing constraints, and\nan SDK with a static graph compiler, a C++ runtime library and a model zoo.\n\nAbout BrainChip Holdings Ltd.\n\nBrainChip\n(https://www.globenewswire.com/Tracker?data=xftmPKnX05p6yn7-C6I8dmYx2KpCrvBXVU9YYGRNBN2NO4HEy2w4EFez3mRfXk-DgpWqJBaczHgKl3w95H1WJg==)\nis the worldwide leader in edge AI on-chip processing and learning. The\ncompany’s first-to-market, fully digital, event-based AI processor,\nAkida(™), uses neuromorphic principles to analyze only essential sensor\ninputs at the point of acquisition, processing data with unmatched efficiency,\nprecision and energy economy. BrainChip’s Sequora(™) is an efficient\ndigital AI processor for GenAI and other large models using state-space\narchitectures. BrainChip’s technology is deployed across industries\nincluding aerospace, defense, industrial IoT, healthcare, consumer devices,\nand wearables. Explore more at www.brainchip.com.\n\nFollow BrainChip:\n\nX: https://www.twitter.com/BrainChip_inc\n\nLinkedIn: https://www.linkedin.com/company/7792006\n\nInvestor Contact\n\nIR@brainchip.com\n\nMedia Contact\n\nMaddie Coe\n\nPRforBrainchip@bospar.com\n\n(© 2026 BrainChip Holdings Ltd. All rights reserved. Internal use only)"},"type":"article","timestamp":"2026-10-14T13:00:00.775154296Z","server_sent_at_ms":1791982800775},"received_at":"2026-10-14T13:00:00.825Z","source_url":null},"analysis":null,"durationMs":null,"modelName":null}}