Riemann Dynamics Partners with Guanglun Intelligence and Noyes Robotics to Target 2026 Million-Hour Embodied AI Data Construction
Riemann Dynamics joins forces with Guanglun Intelligence and Noyes Robotics, centering on the Riemann-1.0 and Matrix-Game 3.5 models, to advance 2026 million-hour embodied AI data construction and build a data-to-deployment closed loop.
Riemann Dynamics recently announced a strategic partnership with Guanglun Intelligence and Noyes Robotics. The three parties will collaborate around the Riemann-1.0 embodied world action model and the Matrix-Game 3.5 interactive world model, focusing on data collection, model training, and real robot deployment.
The development of embodied AI relies heavily on high-quality data support. This collaboration aims to advance the construction of million-hour embodied AI data targeting 2026, attempting to solve the pain points of data scarcity and uneven quality in the current field, providing a solid foundation for model iteration.
This move marks Riemann Dynamics' transition from single model capability to a systematic closed loop. Through the cycle of "data production, model training, real-world verification, and feedback iteration," the company hopes to accelerate the application of embodied AI from the laboratory to real-world scenarios, promoting industry technology maturity.
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