Session

For Physical AI, data is the problem, but data is not the solution

with Ashutosh Saxena

About This Session

TorqueAGI builds a physics informed foundation AI that enables robots to operate reliably in the real world. Our models power mission critical robotic systems across dynamic environments and are already being adopted by 10+ robotics partners, including production deployments.

Topics

AGI (Artificial General Intelligence)
AI Models
Agentic AI
Automation
Embedded Systems
NVIDIA
Robotics

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Speaker

Ashutosh Saxena

CEO · TorqueAGI

CEO of TorqueAGI

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Dr. Ashutosh Saxena is a pioneering force in the field of Physical AI & Robotics. As the Founder and Chief AI Officer of TorqueAGI, he is leading the development of AI foundation models that enable enterprise-grade robots to perform complex, real-world tasks in high-stakes industries. Dr. Saxena holds a Ph.D. in Computer Science from Stanford University, with AI luminary Andrew Ng. He went on to become an accomplished professor at Cornell University, where he led the "Wikipedia for Robots" project (MIT 10 technology breakthroughs). With over 20,000 citations and more than 100 published papers, his foundational work on 3D computer vision and deep learning has been recognized with numerous awards, including the MIT Technology Review TR35 Innovator Award, a Sloan Fellowship, and the World Technology Award. His entrepreneurial experience includes co-founding Katapult (NSDQ: KPLT), Brain of Things ($8 million ARR), and Caspar AI (Top 100 AI Companies by CB Insights).