Amulya Vishwanath: Physical AI in the Era of Foundations

For Amulya Vishwanath, physical AI is in a foundational building phase, far from a product turning point. The former Nvidia executive, now leading Techable Ventures, emphasizes the challenge of attracting talent as major companies lure sought-after profiles. She leverages her network built in the industry to connect founders and experts.

Recruitment Becomes the Critical Focus for Physical AI Startups

Talent is considered a central element and remains a key factor in the American market. Amulya Vishwanath notes that a significant portion of profiles is heading towards companies like Anthropic and Nvidia. To counter this, she highlights one of Techable Ventures' focuses: helping founders access top talent to stay competitive. She explains that she has built a strong network over her years in the industry to support teams. According to her, this makes it easier to be the first person contacted by founders.

Software and Hardware Components Are Reconfiguring Before the ‘Product Moment’

While many players talk about a "ChatGPT moment" for robotics, Amulya Vishwanath believes that physical AI is currently in a "LEGO era." She describes a period where fundamental software and basic components of robotics are being rethought, which she considers essential for enabling innovation. Elements like robotic hands and actuators are under development and could be assembled in the future. Meanwhile, general-purpose and specialized robots are being built and are expected to progress as this work advances. She compares this dynamic to that of the Internet era and the Industrial Revolution, believing that the various elements will eventually come together.

A Specialized Fund Driven by a Background Rooted in Hardware and AI

Amulya Vishwanath founded Techable Ventures, a venture capital fund dedicated to physical AI. She created this entity after serving nearly seven years as a product marketing manager at Nvidia. Previously, she held the same position at a company that was later acquired by Intel and worked as a digital signal processing engineer at Interconnect Systems, a company acquired by Molex. She is now speaking out to share her vision for the future of physical AI.