{"id":56520,"date":"2026-01-15T06:00:38","date_gmt":"2026-01-15T14:00:38","guid":{"rendered":"https:\/\/www.edge-ai-vision.com\/?p=56520"},"modified":"2026-01-14T13:38:58","modified_gmt":"2026-01-14T21:38:58","slug":"quadric-inference-engine-for-on-device-ai-chips-raises-30m-series-c-as-design-wins-accelerate-across-edge","status":"publish","type":"post","link":"https:\/\/www.edge-ai-vision.com\/2026\/01\/quadric-inference-engine-for-on-device-ai-chips-raises-30m-series-c-as-design-wins-accelerate-across-edge\/","title":{"rendered":"Quadric, Inference Engine for On-Device AI Chips, Raises $30M Series C as Design Wins Accelerate Across Edge"},"content":{"rendered":"

Tripling product revenues, comprehensive developer tools, and scalable inference IP for vision and LLM workloads, position Quadric as the platform for on-device AI.<\/h3>\n

BURLINGAME, Calif., Jan. 14, 2026 (PRNewswire)<\/strong> \u2014<\/strong> Quadric\u00ae, the inference engine that powers on-device AI chips, today announced an oversubscribed $30 million Series C funding round, bringing total capital raised to $72 million.<\/p>\n

ACCELERATE Fund, managed by BEENEXT Capital Management, led the round. Uncork Capital returned with one of the largest\u00a0insider commitments through its opportunity fund, joined by insider Pear VC. New investors include Volta, Gentree,\u00a0Wanxiang America, Pivotal, and Silicon Catalyst Ventures.<\/p>\n

The funding comes as Quadric hits a revenue inflection: product revenues more than tripled in 2025 vs. 2024. Quadric is\u00a0entering 2026 with accelerating design-win momentum, driven by growing adoption of the General Purpose NPU (GPNPU)\u00a0processor IP across edge LLM, automotive, and enterprise vision applications.<\/p>\n

“We’ve been deeply impressed by Quadric’s innovative architecture, its disruptive approach to AI inference at the edge,\u00a0and their strong market traction particularly in Asian markets,” said Hero Choudhary, Managing Partner at BEENEXT.\u00a0“Those attributes indicate a very clear path for further growth with a strong potential to be a generational business.\u00a0We believe Quadric is poised to revolutionize the edge AI hardware sector, and we look forward to supporting their\u00a0journey as they continue to push the boundaries of what is possible.”<\/p>\n

Quadric’s Platform for On-Device AI<\/h2>\n

Making a good AI inference chip is hard. Making one that stays good is harder.<\/p>\n

Most edge AI chips today are legacy architectures with NPU accelerators bolted on as an afterthought. The supporting\u00a0software toolchains are often a hack-job stitched together to validate a handful of models and considered “done.” These\u00a0stacks work fine for the models they were built for, but when a developer tries to inference a new model and obtain good\u00a0performance, they break down.<\/p>\n

Meanwhile, building an AI inference chip costs hundreds of millions of dollars. Customers can’t afford to bet on an\u00a0architecture that becomes obsolete when models shift\u2014and in AI, models always shift.<\/p>\n

Quadric Chimera\u2122 processor IP is designed for this reality. Unlike fixed-function NPUs locked to today’s model\u00a0architectures, Chimera is fully programmable: it runs any AI model\u2014current or future\u2014on a single unified architecture.\u00a0This future-proofs the silicon investment against model-driven obsolescence.<\/p>\n

Combined with a toolchain built from the ground up\u2014not bolted on\u2014Chimera enables chip designers to deploy computer\u00a0vision and on-device LLM applications, including models up to 30 billion parameters, with industry-leading inference\u00a0performance per watt. Customers can go from engagement to production-ready LLM-capable silicon in under six months.<\/p>\n

Chimera GPNPU cores scale from 1 tera operations per second (TOPS) to 864 TOPS and are available in both\u00a0commercial-grade and automotive safety-enhanced (ASIL-ready) configurations.<\/p>\n

Proven Traction, Platform Potential<\/h2>\n

“Quadric is the only AI processor IP company we’ve seen reach this level of product revenue, and that traction is a\u00a0direct result of real customer adoption\u2014not hype,” said Jeff Clavier, Founding Partner at Uncork Capital, a seed\u00a0investor that has participated in every round. “What makes this especially compelling is the entrenched on-device AI\u00a0software ecosystem forming around Chimera; that ecosystem has the makings of a generational platform.”<\/p>\n

Quadric licensees now span automotive, edge LLM, office automation, and autonomous driving use cases. Coincident with\u00a0this funding, Quadric announced two new license wins: an edge-server LLM silicon provider in Asia (name withheld pending\u00a0product announcement), and Tier IV of Japan, a pioneer in self-driving software.<\/p>\n

Growth Capital for Customer Success<\/h2>\n

“I want our customers to have the best AI inference chips in the market. Chips with world-class software, leading\u00a0performance per watt, and immunity to the model obsolescence plaguing AI accelerators,” said Veerbhan Kheterpal, CEO and\u00a0co-founder of Quadric. “This is growth capital, and we’re putting it behind the teams and technology that make our\u00a0customers successful.”<\/p>\n

\n

About Quadric<\/h2>\n

Quadric is the inference engine inside on-device AI chips. Trusted by leading chip designers, Quadric’s General Purpose\u00a0NPU (GPNPU) processor IP and end-to-end toolchain enable customers to go from engagement to production-ready AI silicon\u00a0in under six months. Chimera scales to 864 TOPS, with automotive-grade options. Headquartered in Burlingame, California,\u00a0with teams across North America, Asia, and Europe. Learn more at\u00a0https:\/\/quadric.ai<\/a>.<\/p>\n

CONTACT<\/strong>:
\nSteve Roddy, Chief Marketing Officer; Elaine Gonzalez, Director of Marketing Communications, Phone:\u00a01-844-476-7800 (1-844-GPNPU00), Email: hello@quadric.ai<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Tripling product revenues, comprehensive developer tools, and scalable inference IP for vision and LLM workloads, position Quadric as the platform for on-device AI. BURLINGAME, Calif., Jan. 14, 2026 (PRNewswire) \u2014 Quadric\u00ae, the inference engine that powers on-device AI chips, today announced an oversubscribed $30 million Series C funding round, bringing total capital raised to $72 […]<\/p>\n","protected":false},"author":15833,"featured_media":56522,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"content-type":"","_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"default","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[2,771,4243],"tags":[],"class_list":["post-56520","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","category-processors","category-quadric"],"yoast_head":"\nQuadric, Inference Engine for On-Device AI Chips, Raises $30M Series C as Design Wins Accelerate Across Edge - Edge AI and Vision Alliance<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.edge-ai-vision.com\/2026\/01\/quadric-inference-engine-for-on-device-ai-chips-raises-30m-series-c-as-design-wins-accelerate-across-edge\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Quadric, Inference Engine for On-Device AI Chips, Raises $30M Series C as Design Wins Accelerate Across Edge - Edge AI and Vision Alliance\" \/>\n<meta property=\"og:description\" content=\"Tripling product revenues, comprehensive developer tools, and scalable inference IP for vision and LLM workloads, position Quadric as the platform for on-device AI. 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