Riding the wave of innovation, Quadric is making waves in the AI chip industry by shifting its focus from cloud AI to on-device inference. The company’s mission to build programmable on-device AI chips that can run fast-changing models locally is paying off, with a significant increase in licensing revenue.
Quadric’s On-Device AI Ambition
Quadric’s on-device AI chips are designed to enable companies and governments to build and deploy AI models that can run locally, without relying on cloud infrastructure. This approach offers faster processing, reduced latency, and improved security – a major departure from the traditional cloud-based AI model.
Fast-Changing Models, Local Deployment
Quadric’s focus on on-device AI is driven by the need for companies to adapt quickly to changing market conditions, customer preferences, and regulatory requirements. By deploying AI models locally, organizations can respond faster to these changes, reducing the risk of data breaches and latency issues associated with cloud-based AI.
Quadric posted $15 million to $20 million in licensing revenue in 2025, up from around $4 million in 2024. This significant increase in revenue is a testament to the growing demand for on-device AI solutions.
The Road to Royalty-Driven On-Device AI
Quadric is targeting up to $35 million in licensing revenue this year as it builds a royalty-driven on-device AI business. The company’s strategy involves licensing its AI chip technology to other companies, which can then integrate the chips into their own products.
Quadric’s business model is designed to generate revenue through royalties on each chip sold, providing a predictable and recurring stream of income. This approach has the potential to create a significant revenue stream for the company, as the demand for on-device AI solutions continues to grow.
Series C Funding and Future Plans
Quadric recently raised a $30 million Series C round led by ACCELERATE Fund, managed by BEENEXT Capital Management, bringing its total funding to $72 million. The company plans to use this funding to further develop its on-device AI chip technology and expand its sales and marketing efforts.
The company has already secured several major partnerships with leading technology companies, and its on-device AI chips are being used in a range of applications, from smartphones to autonomous vehicles.
FAQs
What is on-device AI?
On-device AI refers to the processing of artificial intelligence models on a device, rather than relying on cloud infrastructure. This approach offers faster processing, reduced latency, and improved security.
How does Quadric’s on-device AI technology work?
Quadric’s on-device AI technology involves licensing its AI chip technology to other companies, which can then integrate the chips into their own products. The chips are designed to enable fast-changing models to run locally, without relying on cloud infrastructure.
What are the benefits of on-device AI?
The benefits of on-device AI include faster processing, reduced latency, and improved security. By processing AI models locally, organizations can respond faster to changing market conditions, customer preferences, and regulatory requirements, reducing the risk of data breaches and latency issues associated with cloud-based AI.
Editorial note: This article is based on publicly available reporting from established technology and business news outlets, including TechCrunch. The analysis, context, and editorial perspective are independently produced.
