{"success":true,"data":{"pressRelease":{"id":"143805","rtpr_id":"nGNX115S2H-20260915","ticker":"MCHP","exchange":"NASDAQ","all_tickers":["MCHP"],"title":"AnalogAI Selects memBrain™ SAGE Intellectual Property from Silicon Storage Technology® for its First Real-world Edge AI Processors","author":"Globe Newswire","published_at":"2026-09-15T12:09:00.105Z","article_body":"CHANDLER, Ariz., Sept. 15, 2026 (GLOBE NEWSWIRE) -- AnalogAI has chosen\nmemBrain™ Synaptic Analog Generative Engine (SAGE) neuromorphic hardware\nintellectual property (IP) from Microchip Technology’s (Nasdaq: MCHP)\nSilicon Storage Technology® (SST®) subsidiary for its real-world edge AI\nprocessors. AnalogAI edge AI processors feature a hardware aware proprietary\nalgorithm designed to simultaneously train and run inference on AI models in\nreal-world environments.\n\nAnalogAI is utilizing SST's memBrain SAGE IP to deliver high levels of analog\ncompute-in-memory (aCIM) performance at or below one watt for ultra-low power\nedge applications. By leveraging the robust silicon proven SST memBrain SAGE\nIP based on SST SuperFlash®, AnalogAI is developing new capabilities for\nreal-world inference applications such as environment adapting humanoid\nrobots, drones and vehicles.\n\n“AnalogAI is pursuing innovative co-optimized solutions for edge AI\ninference that enable edge devices to adapt real-time to sudden changes in the\nenvironment,” said Mark Reiten, senior vice president of Microchip’s\nIntelligent Compute business unit. “As the core inference engine for\nAnalogAI’s first products, SST memBrain SAGE IP delivers the necessary\ncompute performance coupled with the power efficiency AnalogAI requires to\nmeet their application targets. We are pleased to welcome AnalogAI as the\nnewest licensee of our SST memBrain IP, joining our rapidly expanding\necosystem.”\n\nSST memBrain SAGE IP features:\n* memBrain Tensor In-Memory Logic Element (TILE) * memBrain solution optimized\nESF3 bitcell which stores up to 8 bpc at nanoamp levels\n* memBrain solution custom array, decoders and driver circuitry\n \n* Optimized DACs and ADCs\n* Summator and high voltage bias circuitry\n* Nanoamp level bitcell control logic\n* memBrain proprietary test circuitry\n* SST memBrain technology documentation and simulation models\n* Full IP integration service and support\n“AnalogAI selected SST’s memBrain SAGE IP after an industry-wide search of\navailable offerings and determined the silicon-proven memBrain SAGE IP best\nenabled us to accelerate our development time while still achieving the\nultra-low-power and high performance required in our market segment,” said\nJaejun Lee, AnalogAI’s chief executive officer. “Analog Compute-in-Memory\nis a rapidly emerging field, and at AnalogAI we are pioneering new\nfunctionality for edge AI devices requiring real-world adaptation.”\n\nSST’s memBrain SAGE IP has been developed and deployed in 40 nm and 28 nm\nfoundry processes using production-ready SuperFlash memory. The current\ntechnology roadmap includes 22 nm memBrain SAGE IP development. Designed to\nprovide reliable, high-performance and low-power non-volatile storage directly\non the chip, SuperFlash memory is widely used in applications that require\nfast access times, high endurance and data retention without the need for\nexternal memory components.\n\nPricing and Availability\nCustomers interested in SST’s memBrain IP solutions and SuperFlash\ntechnology should access the SST website\n(https://www.sst.com/membrain-products/) or contact a regional SST sales\nexecutive (https://www.sst.com/contact-us/) for details. Those interested in\nAnalogAI’s products should visit the AnalogAI website\n(http://www.analog-ai.com) or contact the AnalogAI team at\ncontact@analog-ai.com.\n\nResources\nHigh-res images available through Flickr or editorial contact (feel free to\npublish):\n* Application image:\nwww.flickr.com/photos/microchiptechnology/55472818028/sizes/o/\nAbout Microchip Technology:\nMicrochip Technology Inc. is a broadline supplier of semiconductors committed\nto making innovative design easier through total system solutions that address\ncritical challenges at the intersection of emerging technologies and durable\nend markets. Its easy-to-use development tools and comprehensive product\nportfolio supports customers throughout the design process, from concept to\ncompletion. Headquartered in Chandler, Arizona, Microchip offers outstanding\ntechnical support and delivers solutions across the industrial, automotive,\nconsumer, aerospace and defense, communications and computing markets. For\nmore information, visit the Microchip website at www.microchip.com.\n\nAbout Silicon Storage Technology (SST):\nMicrochip Technology’s SST subsidiary is a leading provider of embedded\nflash technology. SST develops, designs, licenses and markets a diversified\nrange of proprietary and patented SuperFlash memory technology solutions for\nthe consumer, industrial, automotive and Internet of Things (IoT) markets. SST\nwas founded in 1989, went public in 1995 and was acquired by Microchip in\nApril 2010. SST is now a wholly owned subsidiary of Microchip and is\nheadquartered in San Jose, Calif. For more information, visit the SST website\nat www.sst.com.\n\nAbout AnalogAI:\nAnalogAI builds edge AI processors that train directly on the device, allowing\nrobots, drones and vehicles to adapt to changing physical environments in real\ntime while running at ultra-low power. Its analog compute-in-memory\narchitecture performs on-device training and inference in a single low-power\ndesign, moving beyond the inference-only approach of conventional edge AI\nhardware. AnalogAI targets physical-world edge applications where systems must\nkeep adapting after deployment, from robotics to autonomous machines. The\ncompany is headquartered in the Seoul area, South Korea. For more information,\nvisit www.analog-ai.com.\n\nNote: The Microchip name and logo, the Microchip logo, Silicon Storage\nTechnology, SST and SuperFlash are registered trademarks of Microchip\nTechnology Incorporated in the U.S.A. and other countries. memBrain is a\ntrademark of Microchip Technology Inc. in the U.S.A. and other countries. All\nother trademarks mentioned herein are the property of their respective\ncompanies.\n\n Editorial Contact:           Partner Media Contact:      \n Brian Thorsen                Jaejun Lee                  \n 480-792-7182                 jaejun.lee@analog-ai.com    \n Brian.Thorsen@microchip.com                              \n\n\n\nThis press release was published by a CLEAR® Verified individual.\n\n(https://www.globenewswire.com/NewsRoom/AttachmentNg/443d82a7-09a7-4ecd-a1b6-6884351a2b14)\n\n\n\nGlobeNewswire, Inc. 2026","article_body_html":"","raw_payload":{"data":{"id":"nGNX115S2H-20260915","title":"AnalogAI Selects memBrain™ SAGE Intellectual Property from Silicon Storage Technology® for its First Real-world Edge AI Processors","author":"Globe Newswire","ticker":"MCHP","created":"2026-09-15T12:09:00.105Z","tickers":["MCHP"],"exchange":"NASDAQ","article_body":"CHANDLER, Ariz., Sept. 15, 2026 (GLOBE NEWSWIRE) -- AnalogAI has chosen\nmemBrain™ Synaptic Analog Generative Engine (SAGE) neuromorphic hardware\nintellectual property (IP) from Microchip Technology’s (Nasdaq: MCHP)\nSilicon Storage Technology® (SST®) subsidiary for its real-world edge AI\nprocessors. AnalogAI edge AI processors feature a hardware aware proprietary\nalgorithm designed to simultaneously train and run inference on AI models in\nreal-world environments.\n\nAnalogAI is utilizing SST's memBrain SAGE IP to deliver high levels of analog\ncompute-in-memory (aCIM) performance at or below one watt for ultra-low power\nedge applications. By leveraging the robust silicon proven SST memBrain SAGE\nIP based on SST SuperFlash®, AnalogAI is developing new capabilities for\nreal-world inference applications such as environment adapting humanoid\nrobots, drones and vehicles.\n\n“AnalogAI is pursuing innovative co-optimized solutions for edge AI\ninference that enable edge devices to adapt real-time to sudden changes in the\nenvironment,” said Mark Reiten, senior vice president of Microchip’s\nIntelligent Compute business unit. “As the core inference engine for\nAnalogAI’s first products, SST memBrain SAGE IP delivers the necessary\ncompute performance coupled with the power efficiency AnalogAI requires to\nmeet their application targets. We are pleased to welcome AnalogAI as the\nnewest licensee of our SST memBrain IP, joining our rapidly expanding\necosystem.”\n\nSST memBrain SAGE IP features:\n* memBrain Tensor In-Memory Logic Element (TILE) * memBrain solution optimized\nESF3 bitcell which stores up to 8 bpc at nanoamp levels\n* memBrain solution custom array, decoders and driver circuitry\n \n* Optimized DACs and ADCs\n* Summator and high voltage bias circuitry\n* Nanoamp level bitcell control logic\n* memBrain proprietary test circuitry\n* SST memBrain technology documentation and simulation models\n* Full IP integration service and support\n“AnalogAI selected SST’s memBrain SAGE IP after an industry-wide search of\navailable offerings and determined the silicon-proven memBrain SAGE IP best\nenabled us to accelerate our development time while still achieving the\nultra-low-power and high performance required in our market segment,” said\nJaejun Lee, AnalogAI’s chief executive officer. “Analog Compute-in-Memory\nis a rapidly emerging field, and at AnalogAI we are pioneering new\nfunctionality for edge AI devices requiring real-world adaptation.”\n\nSST’s memBrain SAGE IP has been developed and deployed in 40 nm and 28 nm\nfoundry processes using production-ready SuperFlash memory. The current\ntechnology roadmap includes 22 nm memBrain SAGE IP development. Designed to\nprovide reliable, high-performance and low-power non-volatile storage directly\non the chip, SuperFlash memory is widely used in applications that require\nfast access times, high endurance and data retention without the need for\nexternal memory components.\n\nPricing and Availability\nCustomers interested in SST’s memBrain IP solutions and SuperFlash\ntechnology should access the SST website\n(https://www.sst.com/membrain-products/) or contact a regional SST sales\nexecutive (https://www.sst.com/contact-us/) for details. Those interested in\nAnalogAI’s products should visit the AnalogAI website\n(http://www.analog-ai.com) or contact the AnalogAI team at\ncontact@analog-ai.com.\n\nResources\nHigh-res images available through Flickr or editorial contact (feel free to\npublish):\n* Application image:\nwww.flickr.com/photos/microchiptechnology/55472818028/sizes/o/\nAbout Microchip Technology:\nMicrochip Technology Inc. is a broadline supplier of semiconductors committed\nto making innovative design easier through total system solutions that address\ncritical challenges at the intersection of emerging technologies and durable\nend markets. Its easy-to-use development tools and comprehensive product\nportfolio supports customers throughout the design process, from concept to\ncompletion. Headquartered in Chandler, Arizona, Microchip offers outstanding\ntechnical support and delivers solutions across the industrial, automotive,\nconsumer, aerospace and defense, communications and computing markets. For\nmore information, visit the Microchip website at www.microchip.com.\n\nAbout Silicon Storage Technology (SST):\nMicrochip Technology’s SST subsidiary is a leading provider of embedded\nflash technology. SST develops, designs, licenses and markets a diversified\nrange of proprietary and patented SuperFlash memory technology solutions for\nthe consumer, industrial, automotive and Internet of Things (IoT) markets. SST\nwas founded in 1989, went public in 1995 and was acquired by Microchip in\nApril 2010. SST is now a wholly owned subsidiary of Microchip and is\nheadquartered in San Jose, Calif. For more information, visit the SST website\nat www.sst.com.\n\nAbout AnalogAI:\nAnalogAI builds edge AI processors that train directly on the device, allowing\nrobots, drones and vehicles to adapt to changing physical environments in real\ntime while running at ultra-low power. Its analog compute-in-memory\narchitecture performs on-device training and inference in a single low-power\ndesign, moving beyond the inference-only approach of conventional edge AI\nhardware. AnalogAI targets physical-world edge applications where systems must\nkeep adapting after deployment, from robotics to autonomous machines. The\ncompany is headquartered in the Seoul area, South Korea. For more information,\nvisit www.analog-ai.com.\n\nNote: The Microchip name and logo, the Microchip logo, Silicon Storage\nTechnology, SST and SuperFlash are registered trademarks of Microchip\nTechnology Incorporated in the U.S.A. and other countries. memBrain is a\ntrademark of Microchip Technology Inc. in the U.S.A. and other countries. All\nother trademarks mentioned herein are the property of their respective\ncompanies.\n\n Editorial Contact:           Partner Media Contact:      \n Brian Thorsen                Jaejun Lee                  \n 480-792-7182                 jaejun.lee@analog-ai.com    \n Brian.Thorsen@microchip.com                              \n\n\n\nThis press release was published by a CLEAR® Verified individual.\n\n(https://www.globenewswire.com/NewsRoom/AttachmentNg/443d82a7-09a7-4ecd-a1b6-6884351a2b14)\n\n\n\nGlobeNewswire, Inc. 2026"},"type":"article","timestamp":"2026-09-15T12:09:00.168278269Z","server_sent_at_ms":1789474140168},"received_at":"2026-09-15T12:09:00.225Z","source_url":null},"analysis":{"id":"132637","press_release_id":"143805","analysis_json":{"industry":{"label":"Semiconductors & Semiconductor Equipment","sector":"Information Technology"},"redFlags":["Licensing deal is with a private startup (AnalogAI); no financial terms, deal value, or revenue contribution disclosed"],"eventType":"partnership","narrative":"AnalogAI has licensed memBrain SAGE neuromorphic hardware IP from Microchip Technology's Silicon Storage Technology subsidiary as the core inference engine for its first real-world edge AI processors.\n\nThe analog compute-in-memory IP targets ultra-low-power edge devices such as environment-adapting humanoid robots, drones and vehicles, with AnalogAI targeting high compute performance at or below one watt.\n\nSST's memBrain SAGE IP is deployed in 40 nm and 28 nm foundry processes with 22 nm development on the roadmap, and Microchip described AnalogAI as the newest licensee in a rapidly expanding IP ecosystem.","sentiment":"bullish","agentHooks":{"shouldPost":false,"suggestedAngle":"Edge-AI design win validates SST's memBrain IP licensing strategy, but undisclosed terms keep the financial impact for MCHP modest."},"keyFigures":{"customDimensions":{"power_target":"at or below one watt","bitcell_capacity":"up to 8 bpc","process_nodes_roadmap":["22 nm"],"process_nodes_deployed":["40 nm","28 nm"]}},"quotedText":"newest licensee of our SST memBrain IP","namedEntities":{"people":[{"name":"Mark Reiten","role":"Senior Vice President, Microchip Intelligent Compute business unit"},{"name":"Jaejun Lee","role":"CEO of AnalogAI"}],"products":["memBrain SAGE (Synaptic Analog Generative Engine) IP","SuperFlash (SST SuperFlash)","ESF3 bitcell","memBrain Tensor In-Memory Logic Element (TILE)","AnalogAI edge AI processors"],"companies":[{"name":"Microchip Technology Inc.","ticker":"MCHP","relationship":"filer / IP licensor via SST subsidiary"},{"name":"Silicon Storage Technology (SST)","relationship":"wholly owned subsidiary of Microchip; licensor of memBrain SAGE IP"},{"name":"AnalogAI","relationship":"licensee / customer; private edge AI processor startup headquartered in Seoul, South Korea"}],"dollarAmounts":[]},"materialImpact":{"score":2,"reasoning":"A design/licensing win for Microchip's SST subsidiary -- AnalogAI selected SST memBrain SAGE IP after what Microchip describes as an industry-wide search. However, AnalogAI is a private startup, no financial terms or revenue contribution are disclosed, so the near-term P&L impact is modest."},"tickerRelevance":{"others":[],"primary":"MCHP"},"globalImportance":25,"audienceRelevance":35,"eventTypeSecondary":["operations_update"],"importanceComponents":{"tickerTier":"large-cap S&P 500 semiconductor","eventGravity":"IP licensing/design win with no disclosed terms","sectorWeight":"AI/edge-compute thematic interest","customerProfile":"private South Korean edge-AI startup","revenueMateriality":"unquantified"}},"event_type":"partnership","event_type_secondary":["operations_update"],"sentiment":"bullish","material_impact_score":2,"narrative":"AnalogAI has licensed memBrain SAGE neuromorphic hardware IP from Microchip Technology's Silicon Storage Technology subsidiary as the core inference engine for its first real-world edge AI processors.\n\nThe analog compute-in-memory IP targets ultra-low-power edge devices such as environment-adapting humanoid robots, drones and vehicles, with AnalogAI targeting high compute performance at or below one watt.\n\nSST's memBrain SAGE IP is deployed in 40 nm and 28 nm foundry processes with 22 nm development on the roadmap, and Microchip described AnalogAI as the newest licensee in a rapidly expanding IP ecosystem.","key_figures":{"customDimensions":{"power_target":"at or below one watt","bitcell_capacity":"up to 8 bpc","process_nodes_roadmap":["22 nm"],"process_nodes_deployed":["40 nm","28 nm"]}},"named_entities":{"people":[{"name":"Mark Reiten","role":"Senior Vice President, Microchip Intelligent Compute business unit"},{"name":"Jaejun Lee","role":"CEO of AnalogAI"}],"products":["memBrain SAGE (Synaptic Analog Generative Engine) IP","SuperFlash (SST SuperFlash)","ESF3 bitcell","memBrain Tensor In-Memory Logic Element (TILE)","AnalogAI edge AI processors"],"companies":[{"name":"Microchip Technology Inc.","ticker":"MCHP","relationship":"filer / IP licensor via SST subsidiary"},{"name":"Silicon Storage Technology (SST)","relationship":"wholly owned subsidiary of Microchip; licensor of memBrain SAGE IP"},{"name":"AnalogAI","relationship":"licensee / customer; private edge AI processor startup headquartered in Seoul, South Korea"}],"dollarAmounts":[]},"model_name":"glm-5.3-flash","prompt_hash":"sha256:727b4b9429a443af","schema_hash":"sha256:05005c02d9cffac9","created_at":"2026-09-15T12:09:40.638Z","global_importance":25,"audience_relevance":35,"importance_components":{"tickerTier":"large-cap S&P 500 semiconductor","eventGravity":"IP licensing/design win with no disclosed terms","sectorWeight":"AI/edge-compute thematic interest","customerProfile":"private South Korean edge-AI startup","revenueMateriality":"unquantified"}},"durationMs":40405,"modelName":"glm-5.3-flash"}}