tech
January 22, 2026
Quadric rides the shift from cloud AI to on-device inference — and it's paying off
Quadric aims to help companies and governments build programmable on-device AI chips that can run fast-changing models locally.
TL;DR
- Companies and governments are seeking tools for local AI processing to reduce cloud costs and build sovereign capabilities.
- Quadric, a chip-IP startup, is expanding its on-device inference technology beyond automotive to laptops and industrial devices.
- Quadric projects significant increases in licensing revenue for 2025 and 2026, reflecting strong market demand.
- The company recently secured $30 million in Series C funding, bringing its total funding to $72 million.
- Quadric licenses programmable AI processor IP and a software stack, enabling customers to integrate AI into their own silicon.
- Customers include Kyocera and auto supplier Denso, with initial product shipments expected this year, starting with laptops.
- Quadric is exploring opportunities in markets pursuing 'sovereign AI' strategies to decrease reliance on U.S. infrastructure.
- The rising cost of centralized AI infrastructure and challenges in building hyperscale data centers are driving interest in distributed AI.
- Quadric's programmable IP allows customers to update AI models via software, avoiding costly hardware redesigns.
- The company offers an alternative to chip vendors like Qualcomm and IP suppliers like Synopsys and Cadence.