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Adit Singh joins Mayfield as infrastructure partner focusing on AI investments

Mayfield, a Silicon Valley venture firm founded in 1969, has hired Adit Singh as an infrastructure partner to focus on semiconductor, cybersecurity, and physical AI investments. Singh, previously a partner at Cota Capital, will help accelerate Mayfield's AI strategy, which includes roughly $3 billion deployed into AI companies and a $250 million AI Start fund. Mayfield's portfolio includes Alif Semiconductor, Cognichip, and Aurascape AI, which raised a $12.8 million seed round led by Mayfield in September 2024.

read1 min views1 publishedAug 20, 2026
Adit Singh joins Mayfield as infrastructure partner focusing on AI investments
Image: Cryptobriefing (auto-discovered)

Via cotacapital.com

The veteran VC will zero in on semiconductors, cybersecurity, and physical AI as Mayfield deepens its bet on the picks-and-shovels layer of the AI boom.

Mayfield, one of Silicon Valley’s longest-running venture firms, just added a new infrastructure partner to sharpen its AI investment thesis. Adit Singh, previously a partner at Cota Capital, will focus on semiconductor, cybersecurity, and physical AI deals at the firm.

A $3 billion AI playbook gets a new operator #

Mayfield has been around since 1969. The firm has deployed roughly $3 billion into AI companies over its lifetime, with 70% of those checks written at inception stage.

Mayfield also runs a dedicated $250 million AI Start fund targeting startups across the AI stack. The portfolio already includes semiconductor companies like Alif Semiconductor and Cognichip, plus cybersecurity plays like Aurascape AI, a generative AI security startup that closed a $12.8 million seed round led by Mayfield in September 2024.

Singh’s addition is meant to accelerate that pipeline. At Cota Capital, where he served as a partner since 2021, he specialized in early-stage company building across AI and infrastructure.

Mayfield’s track record and what comes next #

Mayfield has notched 120 IPOs and more than 225 M&A deals across its lifetime.

Singh’s mandate around “physical AI” is worth watching closely. The term generally refers to AI systems that interact with the real world, think robotics, autonomous vehicles, industrial automation, and sensor networks. These applications tend to be capital-intensive and hardware-heavy, and tend to move on longer timelines than software.

Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our

Editorial Policy.

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