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Nvidia veteran Amulya Vishwanath backs physical AI beyond robots

Amulya Vishwanath, who spent seven years leading product marketing for NVIDIA’s robotics platforms, has launched Techable VC to invest in what she calls “physical AI.” The firm targets early‑stage companies in robotics, materials science and life sciences, arguing that the field is still in a “Lego era” where basic components such as actuators, hands and safety standards are being rebuilt.…

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Key points

  • Amulya Vishwanath, ex‑Nvidia robotics product marketing lead, founded Techable VC to fund physical AI in robotics, materials and life sciences.
  • She describes robotics as in a “Lego era” and doubts a single foundation model will cause a ChatGPT‑style breakthrough.
  • Vishwanath highlights opportunities such as worker‑short family factories and surgeon burnout, and notes US‑China competitive edges.

In a TechCrunch Equity podcast interview, she explains that physical AI includes molecules, materials, medicines and factory machines, not just robots. She cites concrete problems like family‑run factories struggling to find workers and surgeons facing burnout as prime opportunities. Vishwanath also notes that her Nvidia background gives her a network for due diligence and customer introductions, and she compares the competitive edges of the United States and China, adding that humanoid robots should have uses beyond dancing.

Full story from TechCrunch AI · by Theresa Loconsolo, Dominic-Madori DavisOpen source ↗

Physical AI is more than robots, says the Nvidia veteran now investing in it

TechCrunch AI · 16 October 2026

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This text was published by TechCrunch AI and written by Theresa Loconsolo, Dominic-Madori Davis. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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NVIDIATechable VCGeneral IntuitionAmulya VishwanathPim de WitteDominic-Madori Davis

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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