Robotics doesn't have an algorithm problem. It has a data problem.
Our team has been at the forefront of robotics and AI for over a decade, working across the full stack: from simulation to autonomy. Along the way, we learned that what slows teams down isn't algorithms; it's data.
We've spent countless hours reviewing logs, a grind every robotics team knows too well. At Amazon Robotics, we built and relied on powerful data analysis tools to develop safe, reliable systems and scale them efficiently.
Today, one of the biggest hurdles for robotics teams is the lack of infrastructure to analyze the massive volumes of data their robots generate. Without this foundation, failures and edge cases surface too late, slowing iteration and putting deployments at risk. With the rise of Physical AI, that need has only grown more urgent.
Our mission is to unlock the robotics revolution, helping teams maximize reliability and scale fleets with an analytics platform built for Physical AI.
