HYPRLABS Inc. :: AI-Native Robots That Learn in Real-Time, In-Situ

HYPRLABS Inc. (also referred to as Hypr Labs) is a San Francisco and Paris-based AI robotics company founded to create AI-native robots that learn in real-time, in-situ. The company is building paradigm-shifting autonomous systems capable of adapting and improving through immersive, live learning experiences rather than relying solely on pre-trained models. Their robots are designed for dynamic, unpredictable environments — from city streets to racetracks — where continuous adaptation is essential.

HYPRLABS was co-founded by Tim Kentley Klay (CEO), former founder of Zoox (the world’s first purpose-built robotaxi), Crayon, and XYZ, and Werner Duvaud (Director of AI), known for implementing widely used open-source code for DeepMind’s MuZero algorithm. The company brings together talent from leading AI and robotics organizations, including Google DeepMind, with a strong emphasis on systems architecture, real-time learning, and scalable deployment.

While still in an early but well-funded phase, HYPRLABS focuses on developing advanced embodied AI platforms. Their systems emphasize run-time learning, where robots continuously refine behaviors based on real-world interactions. This approach aims to overcome limitations of traditional robotics that depend heavily on simulation or massive offline datasets. The company is building robots that can scale dramatically while maintaining safety, reliability, and adaptability.

Key areas of development include advanced perception, real-time decision-making, and robust physical interaction in complex environments. Their work draws on cutting-edge reinforcement learning, simulation-to-real transfer, and multi-modal AI to create robots that evolve with experience. HYPRLABS is backed by prominent investors including Blackbird VC, Fortescue Metals Group, Google DeepMind alumni, and successful tech entrepreneurs.

The company operates with a clear philosophy centered on bold innovation, exceptional user experiences, and building revolutionary systems. Their team combines deep expertise in AI, mechatronics, industrial design, and operations.