Architect Labs, co-founded by Aditya Suvedi and Ibrahim Husein from Canada, has successfully raised $24 million USD (approximately NPR 362 crore) to develop custom chip manufacturing. According to Reuters, these chips, developed by 19-year-olds Suvedi and Husein, will assist in designing AI and other general-purpose computing chips for cloud computing giants such as Amazon and Alphabet’s Google, competing against those made by Broadcom and Marvel. Reuters reported that custom chips designed by Marvel and Broadcom generate billions in revenue and this new development aims to offer an alternative to Nvidia’s powerful hardware.
Suvedi completed his School Leaving Certificate from Akshara School in Kathmandu’s Kandaghar and passed Class 12 from IB Yuleans before enrolling at Harvard University. While researching AI-based code verification at Harvard, he met Husein at another renowned university, Stanford. Husein had left school early after enrolling in college at the age of 15, later working on custom chip development for Apple and Tesla. Together, they founded Architect Labs.
Both founders began collaboration on AI systems that focus on chip design and verification research. Observing the gap between AI advancements and hardware development, they decided to leave their studies to launch Architect Labs. The company aims to make the chip design process faster and more affordable, a procedure that currently takes about two years and millions more in labor and R&D costs, according to Suvedi and Husein. Architect Labs intends not only to accelerate the design processes for chip manufacturers but also to provide custom chips to software companies aiming for faster and more efficient application performance, co-founder Ibrahim Husein told Reuters.
Husein stated, “The biggest problem large companies face isn’t just backend execution or layout, but managing the specific workloads they want to deliver to the world, and designing the appropriate chip architecture for that.” Based in Palo Alto, California, the company employs approximately 18 people in machine learning and hardware fields and was founded by Husein and Suvedi. Suvedi explained that just as Taiwan’s TSMC has made chip production accessible, their goal is to simplify chip design. The funding round was led by Kindred Ventures, with participation from TIQ Ventures, Race Capital, and Together Fund. Chief scientists from Google DeepMind Jeff Dean, as well as executives from OpenAI and Nvidia, have also invested in the company.
Architect Labs has announced plans to partner with various companies, AI research labs, and nations to develop specialized chips for complex computing workloads. Chip design technology remains one of the most challenging and restricted fields, requiring years of development, millions of dollars in investment, and expertise limited to a few specialized companies.
