Our Mindset to Prepare for the Age of Physical AI
The age of Physical AI begins where intelligence meets reality — when robots learn through touch, motion, and real experience.

Julia Kim
Co-founder & CEO

When you hear the word "robot," what comes to mind?
Maybe a humanoid from the future. A drone, a robotic arm, or even a coffee machine.
Actually, we have had autonomous machines for many years. Today, intelligence is new, not motion.
Robotics has been redefined by artificial intelligence. Creating robots with thought, learning, and adaptability has evolved from a manufacturing challenge that was previously dominated by hardware to a cognitive frontier.
And that is our role: assisting in the development of capable and broadly applicable robots.Definition of billable hours?
Transitioning from Task-Specific to Actually Generalized
What is meant by "generalized"?
Imagine a robot that has the same understanding of you as a human.
"Can you get me something sweet?" you ask.
It determines what you want, finds its way to the kitchen, sees what's available, and may even decide to place an additional order.

This is a series of perception, reasoning, and interaction rather than a single task. A generalized robot must interact with an unpredictable environment, manage ambiguity, and plan multi-step actions.
This type of intelligence, which is based on the physics and dynamics of the real world, is known as physical artificial intelligence.
How We Prepare
Building Physical AI requires far more than algorithms or hardware. It demands intelligence that learns from reality — a system that grows through physical experience. That’s why we’re creating environments where humans and robots generate data together. From simulation to remote teleoperation to real-world execution, we’re constructing a continuous feedback loop of real physical data. In this loop, robots learn through mistakes, humans validate and guide that learning, and both evolve — together — toward more capable and adaptive intelligence.
What We Believe
We believe that progress in robotics is not merely about building better machines, but about ensuring that intelligence truly serves the real world. The future we envision is not one where robots replace humans, but where they coexist — complementing our limits and extending our reach. That’s why we prepare for Physical AI: to build intelligence that understands, collaborates, and endures. Our goal is simple yet profound — to make intelligence a force that keeps the world flexible, sustainable, and alive.
