Tim Kentley Klay, CEO & co-founder of HYPRLABS, joined Grayson Brulte on The Road to Autonomy podcast to discuss how the company is achieving autonomous driving in downtown San Francisco using just 33 watts of compute and zero simulation or HD maps. By prioritizing "learning velocity," HYPR utilizes an end-to-end neural network that learns continuously from real-world driving data, avoiding the structural noise injected by classical simulation and hand-coded heuristics.

While the industry often relies on massive engineering teams and brute-force compute, HYPRLABS is executing a high-efficiency strategy with a team of just four engineers and a foundational model trained for only $850. Drawing inspiration from DeepMind’s AlphaZero, the company allows the AI to model the environment without predefined rules, using their autonomous vehicle fleet as a validation platform for a new category of robots launching next year.

Episode Chapters

0:00 Introduction to HYPRDRIVE

1:30 HYPRDRIVE

5:40 Learning Velocity

8:10 Building HYPR

12:23 Training the System

18:55 The Origins of the HYPR Approach

21:36 Building Trust

23:35 Simulation

27:07 $850 to Train the Model

30:44 HYPR Robots

33:22 Cameras

35:16 What's Next

Recorded on Sunday, December 14, 2025

--------

About The Road to Autonomy

The Road to Autonomy provides market intelligence and strategic advisory services to institutional investors and companies, delivering insights needed to stay ahead of emerging trends in the autonomy economy™. To learn more, say hello (at) roadtoautonomy.com.

Sign up for This Week in The Autonomy Economy newsletter: https://www.roadtoautonomy.com/ae/

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.