NEURA Robotics and Qualcomm Technologies have announced a long-term strategic collaboration to advance next-generation robotics and physical AI platforms. This collaboration brings together Qualcomm’s leadership in AI computing, connectivity and robotic platforms with NEURA’s deep expertise in robotic systems and embedded AI software, with the common goal of accelerating scalable real-world robotic intelligence.
The collaboration focuses on enabling intelligent robots designed to work safely and effectively alongside humans in industrial, service, home and other environments. By aligning high-performance, low-power edge AI with end-to-end robotics platforms, companies seek to advance robotics from research to large-scale deployment.
Reference architectures “Brain + Nervous System”
This strategic alliance reflects NEURA’s belief that the race to build cognitive and humanoid robots will not be won alone, but through strong alliances. By joining forces with leading technology companies, such as Qualcomm, the NEURA company seeks to accelerate the real-world implementation of the next generation of intelligent robots.
In line with this approach, companies will focus on “Brain + Nervous System” reference architectures that combine high-level cognition (perception, reasoning, planning) with ultra-low latency real-time control for robotic systems. Qualcomm Technologies’ robotic processors, including the Dragonwing IQ10 series, AI physical acceleration and software stack, as well as connectivity platforms, will be combined with NEURA’s embedded AI hardware platforms and software stack to enable scalable solutions designed for real-world deployment.
The collaboration will align Qualcomm Technologies’ end-to-end robotics architecture (bringing together heterogeneous edge computing, edge AI, mixed-criticality systems, software, machine learning operations, and an AI data flywheel) with NEURA’s platform strategy to help accelerate robust deployment across multiple robotic form factors.
To simplify how physical AI moves from development to production, the collaboration includes plans for a standardized deployment and runtime interface to support how AI workloads are deployed, validated, and updated on robotic platforms, supporting faster iteration while maintaining reliability and determinism.
Platforms, ecosystem and developer enablement
NEURA’s Neuraverse platform is anticipated to serve as the central environment for the simulation, training, orchestration and lifecycle management of physical AI workloads for Neura robots running on Dragonwing Robotics processors. Neuraverse is the first cloud-based platform that connects cognitive robots in a shared intelligence network with the goal that any advancement, from any robot, can be deployed in fleets.
Together, the companies plan to foster a global developer ecosystem and market for physical AI and robotics applications, encouraging third-party innovation and supporting a single-build, multi-form-factor deployment approach.
NEURA robotic systems, which include robotic arms, mobile robots, service and home robots, and humanoid platforms, can serve as reference platforms for development, testing and validation in real-world situations. The collaboration prioritizes functional safety, real-time responsiveness, and human-centered design as core principles, leveraging a data-driven approach to continually improve AI reliability, determinism, and performance.
Accelerating a future where cognitive robots operate with humans
“This collaboration marks an important step in making physical AI a reality: open, scalable and reliable,” said David Reger, CEO and founder of NEURA Robotics. “By integrating our cognitive robotics platforms and Neuraverse ecosystem with Qualcomm Technologies’ leadership in edge AI and connectivity, we seek to drive a future where cognitive robots operate safely alongside humans across industries and in everyday life.”
NEURA’s Neuraverse platform will serve as an environment for simulation, training, orchestration and lifecycle management of physical AI workloads
“Robotics represents one of the most demanding edge AI use cases, where decisions must be made instantly, reliably and locally, without relying solely on the cloud for safety-critical responses,” said Nakul Duggal, executive vice president and general manager of IoT and Automotive, Industrial and Embedded Robotics Group, Qualcomm Technologies, Inc. “Qualcomm Technologies has a long history in the robotics sector, and the continued development of its ecosystem with companies like NEURA Robotics helps accelerate the “Scalable intelligence on the device. NEURA’s approach to cognitive robotics reflects a growing trend towards integrating perception and reasoning directly on the device.”
Through this collaboration, NEURA Robotics and Qualcomm Technologies seek to accelerate the commercialization of humanoid and general-purpose robotics, helping to bring physical AI from experimental systems to scalable, real-world implementation across industries.
