Whalesbook
Quadric, jo on-device inference ke liye programmable AI processor IP mein expertise rakhti hai, ne $30 million ki Series C funding round successful complete kar li hai. Yeh funding round ACCELERATE Fund managed by BEENEXT Capital Management ne lead kiya, aur company ka total raised capital $72 million ho gaya hai. Yeh naya paisa Quadric ke liye bahut aham hai kyunki 2025 mein company ka product revenue 2024 ke muqable mein 3 guna se zyada badh gaya hai. Is funding se company apne automotive sector ke focus se bahar nikalkar laptops aur industrial devices jaise naye sectors mein expansion karegi, jahan on-device AI ki demand tezi se badh rahi hai.
Quadric ne 2025 mein $15 million se $20 million tak ka licensing revenue report kiya hai, jo 2024 ke lagbhag $4 million se kafi zyada hai. Yeh strong performance on-device AI solutions ki taraf market ka jhukav dikhata hai. Company ne current year ke liye $35 million tak ka revenue target set kiya hai, jo royalty-based on-device AI business ke liye unka positive outlook dikhata hai. Iss funding round ke baad, January 2026 tak Quadric ki post-money valuation lagbhag $315.8 million ho gayi hai. Is growth ne ek mazboot investor base attract kiya hai, jismein Volta, Gentree, Wanxiang America, Pivotal, aur Silicon Catalyst Ventures jaise naye investors hain, aur Purane investors mein Uncork Capital aur Pear VC shamil hain.
On-device AI ki taraf global trend cloud infrastructure costs kam karne, data privacy badhane, latency kam karne aur "sovereign AI" capabilities enable karne ki wajah se badh raha hai. Quadric is demand ko apne General Purpose Neural Processing Unit (GPNPU) processor IP, Chimera architecture se address karta hai. Fixed-function NPUs ke opposite, Quadric ka IP fully programmable hai, matlab AI models change hone par bhi yeh kaam karta rahega. Yeh flexibility customers ko current aur future AI models ko ek hi architecture par run karne deti hai, investments ko model obsolescence se bachati hai. Company ka integrated software toolchain chip designers ko computer vision aur on-device Large Language Models (LLMs), 30 billion parameters tak ke models ko, industry-leading performance per watt ke sath deploy karne mein madad karta hai. Isse customers sirf 6 mahine mein production-ready AI silicon develop kar sakte hain, jo AI space mein ek bada advantage hai.
Quadric ki chip-agnostic technology Kyocera jaise customers ke sath popular ho rahi hai, jo ise smart office equipment mein use kar rahe hain, aur Denso, jo ise automotive ADAS chips mein integrate kar raha hai. Company naye markets mein bhi pahunch rahi hai, jismein ek undisclosed Asian customer ke liye edge LLM chips aur Tier IV ke sath autonomous driving solutions ke liye software shamil hain. Programmable IP offer karke, Quadric khud ko Nvidia jaise bade chip manufacturers ke liye ek flexible alternative ke roop mein position karta hai, jo data-center AI par focus karte hain, aur Synopsys aur Cadence jaise traditional IP suppliers ke liye bhi, jinke solutions customize karne mein mushkil ho sakti hai. Jaise distributed AI aur sovereign capabilities ki demand badhti rahegi, Quadric ki adaptable aur efficient on-device AI solutions provide karne ki ability uske future growth ke liye crucial hogi.