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On-Device AI Fuels Quadric's Revenue Surge

Quadric, a chip-IP startup focused on on-device AI inference, is seeing significant revenue growth as companies and governments increasingly seek alternatives to cloud-based AI solutions. The company reported licensing revenue between $15 million and $20 million in 2025, a substantial increase from approximately $4 million in 2024, according to CEO Veerbhan Kheterpal.

This growth trajectory has fueled a rise in the company's valuation, now estimated between $270 million and $300 million post-money, a considerable jump from its $100 million valuation during its Series B funding round in 2022. Quadric is projecting further expansion, targeting up to $35 million in revenue this year as it focuses on building a royalty-driven business model centered on on-device AI. The company recently secured $30 million in a Series C round led by ACCELERATE Fund, managed by BEENEXT Capital Management, bringing its total funding to $72 million.

The shift towards on-device AI is driven by a desire to reduce cloud infrastructure costs and establish sovereign capabilities, particularly among governments. Quadric's technology enables AI processing to occur directly on devices, such as laptops and industrial equipment, rather than relying on remote cloud servers. This approach offers benefits like reduced latency, improved privacy, and enhanced security.

Founded by veterans of the early bitcoin mining firm 21E6, Quadric initially focused on the automotive sector but has since expanded its reach to target a broader range of applications. The company's core technology is designed to optimize AI inference tasks on edge devices, making it a key player in the evolving landscape of distributed AI processing.

Looking ahead, Quadric aims to capitalize on the growing demand for on-device AI solutions. With its recent funding and expanding customer base, the company is well-positioned to further develop its technology and expand its market presence, potentially disrupting the traditional cloud-centric AI paradigm.

AI-Assisted Journalism

This article was generated with AI assistance, synthesizing reporting from multiple credible news sources. Our editorial team reviews AI-generated content for accuracy.

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