Dyna Experimental Technology

About Dyna Experimental Technology

Dynaflow, officially Beijing Dynaflow Lab Solution Co., Ltd., has established itself as a leader in AI-enabled laboratory automation, promoting a future where scientific experimentation operates with minimal human intervention. Headquartered in Beijing and founded in 2005, the company champions the “AI + Lights-out Laboratories” concept, a holistic framework that integrates artificial intelligence, automation, and advanced control systems to overhaul traditional laboratory workflows. Core to Dynaflow’s offering is its ability to design, manufacture, assemble, and deploy modular laboratory systems that deliver fully unmanned operation across research disciplines. Their solutions span from initial lab consulting and feasibility design through automated production of electromechanical modules to on-site assembly and ongoing intelligent operational support. By embedding machine learning algorithms, robotic systems, and connected sensing technologies into laboratory processes, Dynaflow enables research facilities to achieve significant gains in efficiency, safety, and data quality. In chemical testing, materials R&D, and energy-related experimentation, their automated platforms reduce manual workload and human exposure to hazardous conditions while accelerating experiment throughput by multiple orders of magnitude. The company serves a broad industrial client base, including scientific research entities, advanced manufacturing labs, and cross-discipline R&D hubs, offering end-to-end solutions that emphasize full lifecycle support and seamless integration. With a network of regional offices and advanced production facilities across China, Dynaflow also drives innovation in adjacent spaces such as modular battery factory systems. Its technology portfolio reflects a strategic blend of robotics, AI, and data analytics tailored to the evolving needs of modern science, and demonstrates a commitment to elevating laboratory infrastructure toward intelligent, unmanned, data-centric research.