01
Capture real situations
Physical intelligence rooted in reality, without rebuilding the facility.
The natural world, made learnable.
Where human motion becomes machine intelligence.
We transform real environments and human workflows into physics-ready simulations, training data, and robot deployments—starting in the warehouse.
Our belief
Robots should learn from the world as it is—not from a generic approximation.
What we do
Physical AI for real-world operations.
Natura Intelligence turns real facilities and human workflows into physics-ready simulations, training data, and robot deployments, so robots learn from the world as it is, not from a generic approximation.
Industry focus
Factories and warehouses, where most physical work is still done by people.
Problem space
Unstructured manual work that today's robots cannot handle because they were trained on approximations, not the real floor.
Who we work with
Physical operators, robotics teams, and research partners.
From observed work to useful autonomy.
A real-to-sim-to-real pipeline for physical AI: capture real work on site, train in simulation grounded in that facility, deploy to the floor, and keep learning from deployment data.
02
Train simulations
Grounded in your facility, workflows, and operating constraints.
03
Deploy and improve
Take robot skills to the floor, then learn while operating to close the autonomy gap.
Current stage: building our initial platform and selecting operational partners for early pilots.
Team
Operations, human-computer interaction, and robotics under one roof.
Andy Zhang
Founder
Former Senior Technical Product Manager in Amazon's operations and automation division. Advised and worked at Ginfon Group, a Series D, top-10 Asian logistics company. Harvard; INSEAD MBA candidate. Part of A*STAR's Essentials incubator.
Ludwig Sidenmark
Human-computer interaction
HCI researcher in XR, eye tracking, and human-AI interaction. Postdoctoral researcher at the University of Toronto; PhD, Lancaster University. Previously Meta Reality Labs, Sony Interactive Entertainment, and Tobii.
Xiao Liu
Research engineer
Researcher in computer vision, robotics simulation, and self-supervised learning. A*STAR; National University of Singapore; Sichuan University.
Bring intelligence to your floor.
Tell us where unstructured work is slowing you down. We are selecting operational partners for early pilots.