Ex-Nvidia lead launches Techable VC to fund physical AI
Former Nvidia product lead Amulya Vishwanath has launched Techable VC to invest early in physical AI, targeting sectors like materials science and medicine beyond simple robotics.

Former Nvidia executive Amulya Vishwanath has launched Techable VC, an early-stage venture investment firm focused on backing physical artificial intelligence across robotics, materials science, and life sciences. After spending seven years leading product marketing for Nvidia's robotics platforms, Vishwanath is now writing first checks for early-stage startups that extend physical AI beyond conventional automated machinery into specialized applications like synthetic molecules, advanced materials, and medical devices.
Vishwanath argues that the current robotics landscape is navigating a foundational "Lego era" rather than experiencing a sudden breakout powered by a single general foundation model. Instead of relying on a broad software system to solve physical tasks instantly, developers must still assemble basic architectural components. This ongoing infrastructure work requires recreating fundamental elements including physical actuators, dexterous robotic hands, domain-specific software, and updated safety protocols across various industries.
For practitioners in AI and hardware engineering, this outlook highlights a shift away from generalized humanoid concepts toward practical, field-specific automation. Vishwanath emphasizes that high-value opportunities exist in tackling immediate operational bottlenecks, such as supporting family-run manufacturing facilities struggling with labor shortages or developing systems to alleviate severe burnout among surgeons.
As one of the first women executives to launch an independent early-stage firm after leaving Nvidia, Vishwanath plans to use her industry background to differentiate Techable VC. The firm intends to tap into her seven years of accumulated contacts across the technology ecosystem to assist early-stage founders with technical due diligence, strategic advice, and customer introductions.
This is our own summary of reporting by TechCrunch AI



