Generative Bionics to build Europe's largest Physical AI Data Factory and advance European humanoid sovereignty with AMD AI infrastructure

Strategic plan to build three-node Physical AI Data Factory network starting with new 5,000-square-metre hub in Italy to connect real-world robot learning, digital-twin simulation and AMD Helios ™ infrastructure, accelerating industrial humanoid deployments on the continent.

Key Highlights

Physical AI Data Factory network: Generative Bionics is developing a proprietary network of three facilities, starting with a 5,000-square-metre hub in Italy, operational by Q4 2027, and expanding to a second site elsewhere in Europe and a third serving global markets. The network will reproduce real industrial environments for robot learning, data generation and validation.

European humanoid sovereignty: The network will give Europe a proprietary, end-to-end Physical AI infrastructure, from real-world robot data to large-scale digital-twin simulation and AI compute, so that the data, models and know-how behind industrial humanoids are generated, trained and validated on the continent.

AMD — strategic partner since day one: From AMD Ventures' investment in Generative Bionics' seed round and the AMD compute on board GENE.01 to the AMD Helios™ systems that will power the Data Factory network, AMD is Generative Bionics' partner across the entire Physical AI stack, delivering the high-performance computing and storage for physical and synthetic data, model training and parallel digital-twin simulation.

Real-to-sim-to-real development: Tasks performed by GENE.01 in physical environments will be recreated as digital twins and repeated across thousands of variations. Models trained in simulation will return to the robots for real-world validation.

Industrial validation: The infrastructure will train World Action Models, validate complete robot configurations before customer deployment and use operational data to improve performance as fleets accumulate operating hours.

, /PRNewswire/ -- Generative Bionics , a deep-tech company developing humanoid robots for industrial applications, today announced at CES Unveiled Milan its plan to build a proprietary, multi-site Physical AI Data Factory designed to move humanoid robotics from laboratory demonstrations to reliable industrial deployment and to advance European humanoid sovereignty, ensuring that the data, models and know-how behind Europe's industrial humanoids are generated, trained and validated on the continent.

Generative Bionics Physical AI Data Factory

The first 5,000-square-metre hub, planned for Italy and scheduled to be operational by Q4 2027, will be followed by 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 connect that data with large-scale digital-twin simulation.

Large language models learn from vast amounts of information available online. Humanoid robots have no comparable source of data on how to act in the physical world. The Data Factory will create it by collecting data as GENE.01 performs industrial tasks and expanding those experiences through digital-twin simulations powered by AMD compute.

Building on the companies' strategic technology collaboration, AMD will be Generative Bionics' AI infrastructure partner and the Data Factory network will be powered by AMD Helios™. Its rack-scale architecture will provide the compute foundation to process physical and synthetic data, train Physical AI models and run thousands of digital-twin scenario variations in parallel.

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

Physical AI Data Factory for Industrial Deployment

Industrial humanoids must learn from the conditions they will encounter at work. This requires data that captures contact, force, motion, proximity, temperature, task constraints and human interaction in realistic operating environments. For GENE.01, the dataset will include vision and motion data as well as signals captured through its full-body multimodal skin.

At 5,000 square metres, the first Data Factory hub is set to become Europe's largest Physical AI training facility for humanoid robots. It will reproduce environments selected with industrial partners and allow fleets of GENE.01 robots to perform tasks continuously in real-world conditions. These operations will generate high-fidelity physical data for training World Action Models and validating the complete robot system, including perception, control, safety behaviour and task execution, before deployment at customer sites.

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

AMD Helios™ Infrastructure for Physical AI