NEURA and SECO Team Up to Build Europe’s Physical AI Manufacturing Base

NEURA Robotics is strengthening its push to scale cognitive robotics from Europe through a new partnership with Italian edge computing and embedded systems specialist SECO.

The collaboration will focus first on the electronics that power NEURA’s cognitive robots, including its humanoid platform, 4NE1. SECO will support the design, engineering and industrialisation of compute modules built around Qualcomm Technologies’ Dragonwing processors, helping NEURA move towards larger-scale production. 

The partnership is significant because NEURA is taking a distributed approach to robot intelligence. Instead of concentrating all processing in a central unit, its “Brain + Nervous System” architecture distributes sensing and computing capabilities across the machine, including closer to joints and other physical interaction points. The objective is faster decision-making at the edge, an important requirement for robots expected to work safely and respond in real time alongside humans. 

But the alliance goes beyond robot hardware. NEURA and SECO also plan to work with real-world production data from semiconductor and electronics manufacturing to develop new Physical AI applications. The idea is to capture knowledge from industrial processes and convert it into reusable automation capabilities that can eventually be deployed across multiple production environments. 

The deal also fits into NEURA’s broader effort to build a European Physical AI ecosystem. The company has recently expanded its network of robot training facilities and partnerships while investing in infrastructure that connects real-world data, robot learning and industrial deployment. 

For Europe, the partnership represents more than another robotics collaboration. It is part of a growing effort to keep critical capabilities from robotics engineering and embedded computing to industrial manufacturing and AI training, closer to home while building technologies capable of competing globally.