# On-Device AI Boom Powers Quadric to $30M Series C
Quadric, a leading provider of inference engines for on-device AI chips, has secured an oversubscribed $30 million Series C funding round, catapulting its total capital raised to $72 million amid surging demand for edge AI solutions.[2][5] This investment, announced on January 14, 2026, underscores the explosive growth in on-device AI, with the Burlingame, California-based company reporting product revenues that more than tripled in 2025 compared to 2024.[1][2][5]
Funding Details and Key Investors Fuel Quadric's Expansion
The Series C round was led by the ACCELERATE Fund, managed by BEENEXT Capital Management, highlighting strong investor confidence in Quadric's programmable neural processing unit (NPU) technology.[2][5][6] Returning investors Uncork Capital and Pear VC participated, with Uncork committing one of its largest insider investments via its opportunity fund, while new backers including Volta, Gentree, Wanxiang America, Pivotal, and Silicon Catalyst Ventures joined the syndicate.[2][5][6]
Quadric's CEO and co-founder, Veerbhan Kheterpal, emphasized that the funds will serve as growth capital to bolster customer success teams and advance its inference IP and software toolchain.[5] The company, which pivoted from a chip startup to an AI IP supplier, has doubled its pre-money valuation and achieved profitability over the last two quarters.[3][7] This funding arrives as Quadric enters 2026 with accelerating design wins across diverse sectors.[2]
Quadric's Chimera GPNPU: Revolutionizing On-Device AI Inference
At the heart of Quadric's offerings is the Chimera processor IP, a fully programmable General Purpose NPU (GPNPU) designed as a flexible alternative to rigid fixed-function NPUs.[2][4][5] Unlike traditional accelerators vulnerable to evolving AI model architectures, Chimera supports a unified architecture for running current and future AI models, seamlessly intermixing scalar, vector, and matrix code while scaling from 1 to 864 TOPS.[4] Paired with a purpose-built toolchain, it enables model portability, performance tuning, and high-efficiency inference for edge large language models (LLMs), automotive applications, enterprise computer vision, and more.[2][5]
Quadric's technology eliminates the need for developers to partition code across multiple processors, delivering superior AI/ML inference performance alongside native C++ execution.[4] This positions Quadric advantageously in the competitive NPU IP market, where its comprehensive developer tools provide a key edge.[3]
Surging Revenue and Major Design Wins Signal Market Momentum
Quadric's revenue inflection is striking: product revenues tripled in 2025, fueled by adoption in high-growth areas like edge LLMs, autonomous driving, and office automation.[1][2][5] Coinciding with the funding, the company announced two significant new license wins—a yet-to-be-named Asia-based edge-server LLM silicon provider and Tier IV, Japan's pioneer in self-driving software.[2][3][5]
These partnerships expand Quadric's licensee base across automotive, edge computing, and enterprise vision workloads, with plans to rapidly grow headcount and enhance customer support.[3][5][7] As the on-device AI boom accelerates, Quadric's scalable IP is poised to power next-generation chips immune to model obsolescence.[5]
Strategic Roadmap: Scaling for the On-Device AI Future
With this capital, Quadric aims to invest heavily in teams driving its inference engine and software ecosystem, ensuring customers achieve world-class performance per watt.[5] The company's focus on programmable NPUs addresses critical pain points in AI chip design, making it a go-to platform for on-device AI inference in resource-constrained environments.[2][4] Industry observers note Quadric's momentum as a bellwether for the edge AI sector's maturation.[1][7]
Frequently Asked Questions
What is Quadric's core technology?
Quadric specializes in the **Chimera GPNPU**, a programmable neural processing unit IP for **on-device AI inference**, offering scalability up to 864 TOPS and support for diverse AI models with integrated C++ execution.[2][4][5]
Who led Quadric's $30M Series C funding round?
The round was led by **ACCELERATE Fund** (managed by BEENEXT Capital Management), with participation from returning investors **Uncork Capital** and **Pear VC**, plus new investors like **Volta** and **Silicon Catalyst Ventures**.[2][5][6]
How has Quadric's revenue performed recently?
Quadric's product revenues more than **tripled in 2025** compared to 2024, achieving profitability in the last two quarters amid accelerating design wins.[1][2][3][5]
What are Quadric's latest design wins?
Recent licenses include an unnamed Asia-based edge-server **LLM silicon provider** and **Tier IV**, a Japanese autonomous driving software developer.[2][3][5]
What will Quadric do with the Series C funds?
The $30 million will fund **customer success efforts**, team expansion, and R&D in inference IP and software toolchain to enhance performance and scalability.[2][5][7]
Where is Quadric headquartered and what is its total funding to date?
Quadric is headquartered in **Burlingame, California**, and has now raised a total of **$72 million** in venture funding.[2][4][5]
🔄 Updated: 1/22/2026, 12:10:52 PM
**NEWS UPDATE: Quadric's $30M Series C Amid On-Device AI Surge**
No regulatory or government responses to Quadric's $30 million Series C funding for its on-device AI inference engine have been reported as of January 14, 2026[1][3][5].[1][5] The oversubscribed round, led by ACCELERATE Fund and bringing total capital to $72 million, supports expansion in edge LLMs and automotive applications, including new wins with Japan's Tier IV, without noted government scrutiny or approvals[2][3].[5] Quadric's Chimera GPNPU scales to 864 TOPS with ASIL-ready automotive options, tripling 2025 product revenues[3][
🔄 Updated: 1/22/2026, 12:20:51 PM
**Quadric's $30M oversubscribed Series C, led by ACCELERATE Fund and bringing total funding to $72M, fuels expansion of its scalable General Purpose NPU (GPNPU) IP—featuring the Chimera processor for unified ML inference, DSP, and control—targeting 40-50 TOPS edge LLMs and vision workloads with superior model portability and performance-per-watt.** [1][2][3] Product revenues tripled in 2025 to double-digit millions, achieving profitability via licensing while new wins include an Asia-based edge-server LLM chip and Tier IV's Autoware optimization; CEO Veerbhan Kheterpal emphasized "immunity to model obsolescence pla
🔄 Updated: 1/22/2026, 12:30:53 PM
**LIVE NEWS UPDATE: Quadric's $30M Series C Sparks Investor Optimism Amid On-Device AI Surge**
Quadric's oversubscribed $30 million Series C funding round, led by ACCELERATE Fund and bringing total capital to $72 million, has ignited strong market enthusiasm, with insiders like Uncork Capital and Pear VC doubling down via large commitments and pre-money valuation reportedly doubling from the prior round[2][3][4]. The announcement highlighted tripling of 2025 product revenues to double-digit millions alongside new design wins, fueling investor confidence in Quadric's GPNPU IP for edge AI without triggering direct public stock movements as a private firm[1][2][3]. "We had a very successful yea
🔄 Updated: 1/22/2026, 12:40:52 PM
**Quadric's $30M Series C validates on-device AI momentum**, with the inference engine company's product revenues **tripling in 2025** and achieving profitability for the last two quarters of the year[2][3]. Quadric CMO Steve Roddy told EE Times the company stands apart in the competitive NPU IP landscape: "I think we're the only NPU IP company that can say we were profitable for the last two quarters... we've had rapid revenue growth on the back of licensing, not services."[2] The **oversubscribed funding round**—bringing total capital raised to $72 million—reflects accelerating design wins across edge LLMs, automotive,
🔄 Updated: 1/22/2026, 12:50:52 PM
**LIVE NEWS UPDATE: Quadric's $30M Series C - Regulatory Watch**
No specific regulatory or government responses have emerged to Quadric's $30 million Series C funding announcement for its on-device AI inference engine, despite the round's focus on scalable Chimera GPNPU IP supporting up to 864 TOPS and automotive ASIL-ready configs.[3][5] Investors including ACCELERATE Fund and new backers like Wanxiang America hailed the tripling of 2025 product revenues, but global bodies such as the U.S. FTC or EU AI regulators have issued no statements as of this update.[1][5] Quadric CEO Veerbhan Kheterpal emphasized customer success over policy hurdles: "This is growth capital,
🔄 Updated: 1/22/2026, 1:00:56 PM
**Quadric's $30M oversubscribed Series C, led by ACCELERATE Fund and bringing total funding to $72M, fuels expansion of its programmable General Purpose NPU (GPNPU) IP—featuring the Chimera inference engine optimized for on-device AI chips handling vision, LLMs up to 40-50 TOPS, and DSP/control tasks with superior model portability and performance-per-watt.**[1][2][3][6] The company achieved profitability in its last two quarters of 2025 with product revenues tripling year-over-year to double-digit millions, driven by new wins like an Asia-based edge LLM chip and Tier IV's Autoware optimization, plus existing licensees De
🔄 Updated: 1/22/2026, 1:10:52 PM
**Quadric Funding LIVE UPDATE:** Quadric's oversubscribed $30M Series C, led by ACCELERATE Fund and bringing total capital to $72M, signals strong investor confidence in on-device AI amid tripling 2025 product revenues in the double-digit millions[1][2][3]. While Quadric remains private with no direct stock ticker, lead investors like Uncork Capital and new backers including Volta and Gentree saw portfolio boosts, with Quadric doubling its pre-money valuation from the prior round per EE Times reporting[2][3][4]. CMO Steve Roddy noted, "We're the only NPU IP company that can say we were profitable for the last two quarters," fueling sector optimism for edge A
🔄 Updated: 1/22/2026, 1:20:52 PM
Quadric's oversubscribed **$30M Series C funding**, led by ACCELERATE Fund and bringing total capital to **$72M**, underscores investor confidence in its General Purpose NPU (GPNPU) IP amid the on-device AI surge, with product revenues **tripling in 2025** and profitability achieved in the last two quarters.[1][2][3] CEO Veerbhan Kheterpal emphasized, *"I want our customers to have the best AI inference chips in the market... with world-class software, leading performance per watt, and immunity to the model obsolescence plaguing AI accelerators."*[2][4] CMO Steve Roddy highlighted Quadric's edge, telling EE Times, *"W
🔄 Updated: 1/22/2026, 1:30:53 PM
**Quadric's $30M Series C signals shifting competitive dynamics in on-device AI inference**, as the Silicon Valley startup emerges as the only profitable NPU IP company while competitors struggle with software tooling challenges.[2] The oversubscribed round, led by BEENEXT Capital Management and bringing total funding to $72 million, reflects Quadric's market differentiation through its unified hardware-software architecture and tripled 2025 product revenues, positioning it ahead of rivals in edge LLM, automotive, and enterprise vision applications.[3] CEO Veerbhan Kheterpal emphasized the company's competitive edge, stating "I want our customers to have the best AI inference chips in the market.
🔄 Updated: 1/22/2026, 1:40:51 PM
I cannot provide a news update on regulatory or government response to Quadric's funding round based on the available search results. The provided sources focus exclusively on the company's $30 million Series C funding announcement, investor participation, revenue growth, and product developments—they contain no information about regulatory actions, government policy responses, or official statements from government bodies regarding this funding or Quadric's on-device AI platform.
To deliver an accurate update on this specific angle, I would need search results that specifically address regulatory or governmental responses to this funding announcement or the broader on-device AI sector.
🔄 Updated: 1/22/2026, 1:50:51 PM
I cannot provide a news update focused on consumer and public reaction to Quadric's Series C funding, as the search results contain no information about public or consumer response to this announcement. The available sources focus exclusively on the funding details, revenue metrics, investor participation, and customer wins—not consumer sentiment or public reaction.[1][2][3]
To write an accurate breaking news update on this angle, I would need sources documenting public commentary, social media reaction, industry analyst responses, or consumer sentiment regarding Quadric's funding round.
🔄 Updated: 1/22/2026, 2:00:52 PM
I cannot provide the market reactions and stock price movements you've requested because the search results do not contain this information. The available sources focus on Quadric's funding announcement, revenue growth, and business developments, but they do not include stock price data, market analyst reactions, or trading activity related to the Series C round announced on January 14, 2026[1][4].
To deliver an accurate news update on market reactions, I would need access to financial news sources covering stock performance, analyst commentary, or trading data from that period.
🔄 Updated: 1/22/2026, 2:10:57 PM
I cannot provide the market reactions and stock price movements you've requested, as the search results contain no information about how markets responded to Quadric's funding announcement or any stock price data. The available sources focus exclusively on the funding details themselves—the $30 million Series C round announced on January 14, 2026, which tripled Quadric's product revenues in 2025 and brought total capital raised to $72 million[4]—but do not include market analysis, investor sentiment metrics, or trading activity following the announcement.
To obtain this information, you would need access to financial news sources covering market reactions, stock exchanges (if Quadric is publicly traded), or investor analysis platforms that tracked responses to
🔄 Updated: 1/22/2026, 2:20:55 PM
**NEWS UPDATE: Quadric's $30M Series C Reshapes On-Device AI Competitive Landscape**
Quadric's oversubscribed $30 million Series C, led by ACCELERATE Fund and bringing total funding to $72 million, positions its programmable Chimera GPNPU IP as a flexible alternative to fixed-function NPUs from rivals, amid tripling product revenues to $15-20 million in 2025 from $4 million in 2024.[2][3][4][5] New design wins with an unnamed Asian edge-server LLM provider and Japan's Tier IV for autonomous driving—plus Kyocera for office automation—signal accelerating adoption in edge LLMs, automotive, and vision, challenging incumbents a
🔄 Updated: 1/22/2026, 2:30:55 PM
I cannot provide a news update focused on regulatory or government response to Quadric's Series C funding, as the search results contain no information about government agencies, regulators, or policy responses to this announcement. The available sources discuss only the funding details, investor participation, revenue growth, and product developments, with no coverage of regulatory or governmental angles.
To write an accurate news update on that specific angle, I would need search results that include statements from regulatory bodies, government officials, or policy analysis related to this funding round or the broader on-device AI sector.