Insider Brief
- Neura Robotics is partnering with Dassault Systèmes to connect robot training in virtual environments with real-world deployment, linking Neura’s robotics platform with Dassault’s 3DEXPERIENCE virtual twin system.
- The goal is to create a closed-loop workflow where robots learn in simulation, operate in physical environments and continuously improve using both synthetic and real-world data, helping address one of robotics’ biggest bottlenecks: data generation.
- As part of the first phase, Neura’s humanoid robot 4NE1 will be integrated into the platform, with the companies aiming to build a scalable system for training and deploying intelligent robots across industrial environments.
Neura Robotics is partnering with Dassault Systèmes to connect robot training in virtual environments with real-world deployment.
The agreement links Neura’s robotics platform with Dassault’s 3DEXPERIENCE virtual twin platform, creating what Neuras describes as a closed-loop system where robots learn in simulation, operate in physical environments and continuously improve across both. The goal is to speed deployment, improve performance and improve data generation.
Unlike software AI trained on massive internet datasets, robots need data from physical interactions — movement, contact, force and environmental response. That kind of training data is expensive and slow to collect in the real world, the company noted.
“The AI of the future will not live only in data centers or on screens. It will move machines, support workers, strengthen industries, and operate in the real world,” Neura founder and CEO David Reger said. “To achieve that, robots must learn across both realities, the physical and the virtual. Together with Dassault Systèmes, we are building exactly this bridge. This partnership is about more than technology. It is about creating the next industrial chapter from Europe for the world.”
What Does the Partnership Entail?
Under the partnership, every Neura Gym training cell and deployed customer environment can be mirrored inside Dassault’s virtual twin platform, allowing developers to generate synthetic training data alongside live operational data. That gives robots more opportunities to test, validate and refine skills before deployment, Neura pointed out.
The setup creates a full workflow across the robotics lifecycle: designing virtual factories and workflows, training robots in both physical and synthetic environments, deploying validated skills into production, and feeding operational data back into the system for continuous improvement.
Neura said this creates a system where each robot deployment improves the broader platform rather than remaining an isolated implementation. The approach is aligned with Dassault’s broader 3D UNIV+RSES strategy, which combines virtual twins, AI and physical systems into a single industrial environment.
As part of the first phase, Neura’s humanoid robot 4NE1 will be integrated into Dassault’s 3DEXPERIENCE platform, with additional robot formats planned later. The companies said the longer-term goal is to make intelligent robotics easier to train and deploy across industries through an open platform model.
“Addressing real-world use cases and efficiently deploying and training robotics is shaping a new European competitive edge,” said Sabine Scheunert, Managing Director Eurocentral,at Dassault Systèmes. “Driven by the seamless link between AI-powered virtual twins and physical systems, it enables trusted, sovereign innovation across the full lifecycle. Together with NEURA Robotics, we bring this integration into global production plants and redefine how robotics evolves from concepts and requirements into fully intelligent industrial operations.”
Image credit: Neura Robotics
