HYPRLABS Inc.

We believe robots learn best when they learn as they move: elegant frameworks designed to learn in the real world, at run-time. Watch Tim Kentley Klay and Grayson Brulte unpack why continuous learning framework matters on The Road to Autonomy®: https://lnkd.in/gkB_6ehc #AI #Robotics #Autonomous #Technology

“The best way to train a neural network is at run-time, in-situ, on the robot.” See the testing setup behind HYPRDRIVE™: • 5 cameras (vision-only) • NVIDIA Orin AGX using 33W of compute (low-power) No simulation crutches. No massive offline datasets. Just an efficient system that learns while it drives. The result: autonomous driving performance in San Francisco trained on ~1,600 hours of real-world data. Watch the full demo with Tim Kentley Klay & Grayson Brulte on The Road to Autonomy®: https://lnkd.in/gkB_6ehc

Do you really need 10 billion miles of training data to achieve autonomy? HYPRDRIVE™ is driving autonomously in San Francisco after training on just 10K real-world miles. Tim Kentley Klay and Grayson Brulte discuss this and more. Full demo live on The Road to Autonomy®: https://lnkd.in/gkB_6ehc

Yesterday we shared the conversation. Today we’re sharing the drive. Following requests for extended footage, we released the full live, in-car autonomous drive with Grayson Brulte of The Road to Autonomy®. No simulation or HD maps. Just the system learning in real-time on the streets of San Francisco. For us, trust in autonomy comes from showing the work — not describing it. Watch the live drive:

HYPRLABS CEO & Co-Founder Tim Kentley Klay joined Grayson Brulte on The Road to Autonomy® to discuss the industry and explore how our AI team of four engineers, led by Director of AI & Co-Founder Werner Duvaud, got us driving autonomously in downtown San Francisco using: • 33W of total compute • No simulation • No HD maps The core idea: Learning Velocity — how fast an AI system converts real-world exposure into intelligence. 🎧 Full conversation linked. #Autonomy #Robotics #AI #SelfDriving #LearningVelocity

Introducing HYPRDRIVE™ our real-world continuous learning AI stack built on our belief that robots learn best when they learn as they move. Check it out at hypr.co/hyprdrive

Today, we’re starting to share what we’ve been working on: https://hypr.co/ The HYPR team has been heads down building a new approach to robotic intelligence—one centered on a single metric we believe matters most: Learning Velocity. Not how much data you collect. Not how much simulation you use. But how quickly a system turns real-world exposure into intelligence. We believe autonomy doesn’t scale through brute force or brittle infrastructure. It scales by learning faster, closer to reality, and with fewer assumptions. More soon, 🦾 The HYPR Crew — #LearningVelocity #Robotics #Autonomy #AI #OutOfStealth