THE FUTURE OF WORK IS BEING REDEFINED
92M
92 M jobs will be displaced by automation by 2030.
170M
170 M new jobs will emerge due to automation and technology.
OUR GOAL IS TO TRAIN THE WORKFORCE OF THE FUTURE
PEO
SCALE.
As we reach the upper limits of our production capability, humanoids will join the workforce with the ability to think, learn, and interact safely with their environment alongside us.
We believe that the new jobs of the future can be learned by anyone.
At Humandroid, we train at NVIDIA’s Deep Learning Institute to develop our skills in artificial intelligence and advanced robotics, building the workforce of the future..
Our Values
BREAKING THE LIMITS OF POSSIBILITY
O1
MOVE FAST, THINK LIKE ENGINEERS
The future isn’t built with hesitation. We experiment, iterate, and learn in real-time. Humanoid robotics and digital twins are our new frontier, and we are here to lead the way.
O2
PRODUCT IS THE MISSION
Every robot we deploy is an extension of our vision: freeing people from dangerous and repetitive tasks. We don’t build technology for the sake of it—we build solutions that transform industries. Everything we do drives us closer to that goal.
O3
RELENTLESS OPTIMISM
We are solving one of humanity’s greatest challenges. It won’t be easy, but we are not here for shortcuts. We focus on the long term, confident that our vision will change the world.
O4
GLOBAL IMPACT AT SCALE
We don’t just automate processes—we redefine work itself. The combination of humanoid robots and artificial intelligence will reshape the global economy. We think in decades, not quarters.
O5
MISSION-DRIVEN PERSEVERANCE
We are here to push boundaries, to create a future where work is safer, more efficient, and deeply human. Every obstacle is just a step toward progress, and every challenge fuels our commitment. We don’t stop—we advance
The Minds Behind the Robots
Meet the innovators shaping the future of AI, robotics, and simulations.
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Senior Business Development Lead
Rodrigo Do Carmo
15+ years in industrial and automotive cybersecurity. Founding chair of VDMA's industrial security expert group and Springer author.
DevOps/MLOps Engineer
Jonathan Castro
Leads Humandroid's ML infrastructure and training pipelines. Integrated NVIDIA Cosmos 3 into production within a week of launch, powering synthetic data generation and VLA fine-tuning for Robots ID.
Head of ML/AI Robotics Research
Jorge Sanchez
PhD in computer vision and machine learning. Former Research Head at Mercado Libre and CONICET researcher with 10+ years in ML research. Leads Humandroid's robotics research, advancing VLA models and imitation learning toward full humanoid autonomy.
Principal AI Engineer
Nicolas Kobelt
Leads the development of Robots ID, Humandroid's 7-layer OS for training and deploying humanoid robots from teleoperation and data collection to policy training and fleet management.
Embodied AI Operator
Marco Bianchini
Operates Humandroid's humanoid robots through teleoperation, generating the high-quality demonstration data that powers Robots ID's training pipeline and turns human skills into autonomous robot capabilities.
