Opsitio Systems is a data company focused on bridging the gap between the digital and physical worlds. We provide high-quality, real-world training data for humanoid robots — helping them learn how to see, move, and act in the environments built for humans.
Our mission is simple: enable robots to fit into the world as it is, rather than reshaping the world for robots. By capturing first-person video and sensor data from real human workers performing everyday, high-variance tasks, we create datasets that power the next generation of general-purpose humanoid robotics.
From cleaning and organizing to navigating complex human spaces, we believe that reliable, human-level physical intelligence begins with better data — and that’s what we build.
Robots to fit the world instead of a world shaped for robots
We believe in the possibilities of humanoid robotics for the simple reason that reshaping the human world to suit specialized robots is not practical or feasible, but shaping robots into humanoid forms will open endless opportunities, if they can reliably perform simple high variance tasks - cleaning, organizing, navigating, and assisting humans in other mundane tasks. It will require high quality training data.
Opsitio Systems is a data refinery with a focus on capturing real, first-person video with depth/IMU from consenting workers of mundane high-variance tasks, where synthetic training data is too synthetic or staged. We apply multi-level action labels, and ship both raw and tokenized datasets with evaluation suites.
Bridging the real and digital worlds
The gap between the digital and physicals worlds is still substantial. The interface between the digital mind inside a mechanical shell with the outside physical world is still developing, but one thing is certain: it will require training data, and lots of it for rapid and reliable progress. And not just any training data, but training data based on first-person video.
It is our belief that humanoid robots integrated with ever more sophisticated AI can help maintain and improve the living standards of people in aging societies, while providing the services and support essential for human flourishing. Low wage jobs or unpopular occupations will become increasingly difficult to fill with people, but humanoid robots have the potential to fill this shortfall of workers. However, before robots can come to our aid several engineering challenges need to be met.
The demographic future of humanoid robots
As people in Europe and Asia are having fewer kids the societies of ever more countries are aging at an increasingly rapid rate putting pressure on economic growth and government finances. While technological progress through innovation can manage some the negatives consequences of below replacement levels total fertility rate, it’s becoming increasingly clear that declining and ageing populations will presenting new challenges for employers, business owners, and governments. Expectation of ever-growing living standards require solutions that deal with the simple fact that there are fewer people for jobs that only people can do.
The global total fertility rate (TFR) is nearing replacement levels of 2,1 having dropped down to just 2,2 in 2024 from 2,4 a decade earlier. Looking at some of the wealthiest regions in the world the picture is looking even more grim with TFR for the European Union hitting new lows in 2023 at 1,38 and some Asian countries looking considerably worse with TFR coming in at 1,2 for Japan, 0,97 for Singapore, and a paltry 0,72 for South Korea.
The two key pillars of global economic growth over the last century have been favorable demographics (more people) coupled with technological progress (productivity growth through innovation). As people become wealthier, they are having fewer kids and the demographic pillar of economic growth is crumbling. With humanoid robots we have the opportunity to keep economic growth through technology.