Generative Bionics launches the Physical AI Data Factory in Italy

This week Generative Bionics announced plans to build a proprietary, multi-site “Physical AI Data Factory” in Italy. The company said the new 5,000-square-meter hub will help move humanoid robotics from laboratory demonstrations to reliable industrial deployment.

Additionally, Generative Bionics said it hopes to advance the sovereignty of European humanoids by ensuring that the data, models and know-how underlying Europe’s industrial humanoids are generated, trained and validated on the continent.

“The value that Europe has right now lies in its sector and we need to extract physical data from artificial intelligence to train our models,” said Daniele Pucci, CEO of Generative Bionics. The robot report. “This is a competitive advantage that Europe has right now, thanks to the automation that we have put in place over the last 40 years.”

Generative Bionics said the new facility will be operational by the fourth quarter of 2027. The Genoa, Italy-based company plans to eventually open a second facility elsewhere in Europe and a third serving global markets. Together, the three facilities will reproduce real industrial environments, generate high-fidelity physical data, and link that data with large-scale simulations.

Building on their strategic technology collaboration, Advanced Micro Devices Inc. will partner Generative Bionics’ AI infrastructure and the Physical AI Data Factory network will be powered by AMD Helios. Its rack-scale architecture will provide the computational foundation to process physical and synthetic data, train physical AI models, and run thousands of variations of digital twin scenarios in parallel.

Data Factory to test GENE.01 in a number of industries

The Physical AI Data Factory will connect real-world robot operations, simulation and AI development in a continuous real-to-sim-real loop, Generative Bionics said. The company said this will allow it to configure and validate its GENE.01 humanoid robot for specific industrial environments before customer deployment, then feed data from deployed fleets into future training cycles.

Industrial humanoids must learn from the conditions they encounter on the job, Generative Bionics noted. This requires data that captures contact, force, motion, proximity, temperature, activity constraints and human interaction in realistic operational contexts. For GENE.01, the dataset will include vision and motion data, as well as signals captured across multimodal skin across the body.

“A robot is not just vision and it is not just language,” Pucci said. “It involves position, velocity, acceleration, temperature and contact forces, so there is a wide variety of data you have to take into account.”

The Data Factory will replicate selected environments with industrial partners and enable fleets of GENE.01 robots to perform tasks continuously in real-world conditions. These operations will generate high-fidelity physical data for world action model (WAM) training and validation of the complete robotic system, including perception, control, safety behavior and task execution, prior to deployment at customer sites.

Each physical environment and robot configuration will also be recreated as a digital twin. The same activities can then be repeated across thousands of variations in layout, objects, materials, operating conditions and failure modes that would be impractical to physically reproduce. Models trained and tested in the simulation will be redeployed to the robots for validation, while data from physical operations will feed the next training cycle.

Generative Bionics wants to help find robots’ “ChatGPT moment.”

Large language models (LLMs) learn from large amounts of information available online, Generative Bionics noted. Humanoid robots have no comparable data sources on how to act in the physical world.

The Physical AI Data Factory will create that source by collecting data as GENE.01 performs industrial tasks and expanding those experiences across digital twins running on AMD computers.

“We have the ambition to become the European champions in physical artificial intelligence, and also in robotics, designed to scale globally,” Pucci said. “This is our clear positioning and, therefore, we are looking closely at the supply chain that can fuel our future production.”

“Production here is divided into three levels: data production, robot production and model production,” he continued. Pucci said that if Europe wants to achieve sovereignty in this sector, it must invest in all three.

At this time, humanoid robots from China have attracted a lot of attention with flashy demonstrations and big funding. But Pucci notes that this doesn’t mean the country is necessarily ahead of Europe.

“I want to be clear about this. Many of the Chinese robots that are on the market are simply not certified to go into industrial environments,” Pucci said. “The narrative that the Chinese solved the problems is very far from reality.”

“At the moment, we believe that many of the existing solutions are fundamentally aimed at entertainment, and this is a market segment that we respect,” he added. “But Generative Bionics is taking the issue of safety and certification very seriously because we want to move to B2B first.”

GENE.01 can be customized for specific applications

Generative Bionics said a few things separate its platform from the average humanoid robot. To start, the GENE.01 features full-body touch sensing.

“It’s natural to give humanoid robots a sense of touch, because humanoid robots need to sense people not only as they speak, but also as they physically interact with them,” Pucci said. “That’s why GENE was given this unique multimodal scheme, capable of sensing not only the sense of touch but also the sense of proximity.”

Generative Bionics also plans to offer GENE.01 as a base platform that can be customized for different industries.

“We have a clear view that humanoid robots cannot be used for anything you can think of, because a humanoid robot welding in a shipyard cannot be the same thing as a humanoid robot in healthcare,” Pucci noted. “There is a fundamental difference in the development cycle.”

The company has three levels of customization. “The first is artificial intelligence, because a robot that moves boxes doesn’t need the same artificial intelligence as a healthcare robot,” Pucci said. “The second is the external design. In the shipyard you have to be resistant to high temperatures, sparks and dust. The third is the hands and feet.”

“This is really scalable at the production level, because you have a common platform and then you can ultimately customize the so-called end of line at these three levels,” he continued. “This is basically the same approach you have in the automotive industry.”

Generative Bionics is based on over 20 years of humanoid research, development and prototyping at the Italian Institute of Technology (IIT). The company exited IIT in 2024 and IIT has granted it exclusive licenses for key technologies.