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NEURA Robotics to raise up to $1.4B in Series C funding for physical AI


NEURA Robotics to raise up to .4B in Series C funding for physical AI

4NE1 humanoid robots and MAV mobile robots in a concept automotive assembly line. Source: NEURA Robotics

Physical AI is still drawing investor attention, as NEURA Robotics GmbH today said its Series C round could reach $1.4 billion. The company said its financing from global technology leaders will help it accelerate its development of “cognitive robots.”

NEURA said its goal is to build systems that “continuously learn, collaborate, and operate across real-world environments through a shared intelligence ecosystem called the Neuraverse.” The company claimed that it combines robotics, artificial intelligence, sensors, edge compute, and a large-scale infrastructure into a unified architecture.

“The future of AI will not only live on screens,” stated David Reger, founder and CEO of NEURA Robotics. “It will move, interact, learn, and work beside us in the real world. We believe physical AI and cognitive robotics will become one of the largest technology shifts of the coming decades, transforming industries ranging from manufacturing and logistics to healthcare, services, and household robotics.”



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Neuraverse and NEURA Gyms to expand

Founded in 2019, NEURA Robotics said it is building the software, AI, and data infrastructure needed to deploy intelligent machines at scale. The company offers light robot arms, mobile robots, and humanoid robots, as well as sensor kits, for manufacturing and supply chain applications.

“In the future, people will not only ask what AI can say,” said Reger. “They will ask what AI can physically do.”

To support this transition, NEURA said it is building the Neuraverse, which it described as an open physical AI ecosystem for robots to learn across deployments. The company is also expanding its global network of NEURA Gyms, specialized large-scale training environments combining real-world sensor interaction, simulation, and multimodal learning pipelines.

NEURA Gym provides a simulation environment for multiple robots.

NEURA Gym provides a training environment for multiple robots. Source: NEURA Robotics

NEURA Robotics builds global partner ecosystem

As part of its long-term strategy, Metzingen, Germany-based NEURA is building out its decentralized robotics and AI ecosystem with global partners.

“Many believed globally relevant AI infrastructure companies could only emerge from Silicon Valley,” Reger added. “We believe the next generation of AI leaders can emerge anywhere in the world where there is enough vision, engineering talent and execution speed. With this financing, NEURA is firmly among the global leaders in the robotics race, alongside the best in the U.S. and China. At the end, this is not only about robotics. It is about building technologies the world will depend on.”

In January 2026, the company said it is collaborating with Robert Bosch GmbH to develop software for humanoid robots, and in April, it partnered with Dassault Systèmes to close the “sim-to-real” gap for robotics. Other strategic partners include Schaeffler, Kawasaki, Delta Electronics, Qualcomm Technologies, Amazon, and NVIDIA.

“Physical AI represents the next major evolution of computing, extending intelligence into real-world environments,” said Nakul Duggal, executive vice president and general manager of the Automotive, Industrial and Embedded IoT, and Robotics Group at Qualcomm. “Robotics is one of the most demanding edge AI use cases, where systems must perceive, reason, and act instantly, reliably, and on-device for safety-critical applications.”

“By combining our leading edge AI capabilities, high-performance computing and connectivity with NEURA’s Neuraverse platform, we are helping accelerate the deployment of intelligent machines that can operate safely and efficiently alongside humans across industries,” he added.

The MiPA mobile manipulator is designed for household use, says NEURA Robotics.

The MiPA mobile manipulator could find household use. Source: NEURA Robotics

Investors look to a future with more AI and humanoids

Investors in NEURA Robotics’ Series C round included Tether, Qualcomm, Amazon, NVIDIA, imec.xpand, Bosch, Schaeffler, European Investment Bank, Lingotto Horizon, InterAlpen Partners, and others.

“As robotics moves beyond scripted automation and into true autonomy, the infrastructure behind it must evolve as well,” said Paolo Ardoino, CEO of blockchain firm Tether. “Autonomous machines need the ability to process information locally, make decisions, and transact without relying on centralized intermediaries.”

“QVAC brings that edge-first intelligence to the platform, while WDK handles the secure financial layer, together enabling machines to execute tasks, account for outcomes, and operate independently,” Ardoino noted. “Neura Robotics shares that vision.”

NEURA asserted that its existing existing orderbook and strategic deployment pipeline exceed $1 billion. The company added that its latest funding will accelerate:

  • Global deployment of cognitive robots and humanoids from Europe to the U.S., China, and Japan
  • Expansion of the Neuraverse platform
  • Rollout of NEURA Gyms, large-scale, real-world training environments for cognitive robots
  • Scaling of manufacturing and deployment infrastructure across Germany and India, with a goal of millions of robots by 2030
  • Development of next-generation physical AI systems

“In addition to the traditional core business, Schaeffler is strategically focusing on new growth areas, including the field of humanoid robotics. Our eight product families and our decades of manufacturing excellence position us exceptionally well in this space,” said Klaus Rosenfeld, CEO of Schaeffler. “We are proud to support NEURA as a technology partner and investor on their successful journey. Together with a strong ecosystem of partners, we will fundamentally revolutionize the development and deployment of humanoid robots in the industry of tomorrow.”

The post NEURA Robotics to raise up to $1.4B in Series C funding for physical AI appeared first on The Robot Report.

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