Physical AI is more than robots, says the Nvidia veteran now investing in it
Oct 16, 2026, 9:30 AM · TechCrunch
Same Equity conversation, wider lens: Vishwanath’s Techable bets treat physical AI as robots plus materials and life sciences.
Why it matters
TechCrunch’s podcast writeup covers Amulya Vishwanath — former NVIDIA robotics product-marketing leader, now Techable VC founder — on why robotics hasn’t had a ChatGPT moment and how she’s investing across physical AI, including robotics, materials science, and life sciences. She describes today’s robotics stack as a “Lego era” of actuators, hands, software, and safety standards still being rebuilt.
From the desk
The headline matters: physical AI isn’t only humanoids on stage. Materials and life-sciences tooling are part of the same bet on intelligence meeting the physical world.
That broader definition is healthier than a single humanoid narrative. It also spreads dual-use and safety questions across more domains. We’re interested in disciplined investing that funds the boring blocks — sensing, actuation, verification — not only the demo model.
I’m watching how Techable defines “physical AI” in practice as checks close.
Context
Companion Equity episode with Dominic-Madori Davis; Vishwanath is described as among the first women executives to leave NVIDIA for her own early-stage firm.
Who feels it
- Deep-tech founders
- A VC thesis that includes materials and life sciences beside robots.
- Humanoid startups
- Competition for attention from a wider physical-AI category.
- Corporate spinouts
- Another path from big-tech robotics roles into early-stage investing.
What to watch
- Disclosed Techable investments across the three verticals
- Overlap with NVIDIA’s own robotics ecosystem
- Whether “Lego era” language spreads in pitch decks
Companies: NVIDIA