Dyna Robotics Secures $120 Million Series A to Accelerate Foundation Model Robotics

Redwood City, CA – Dyna Robotics has successfully raised $120 million in a Series A funding round, pushing the company's valuation above $600 million. This significant investment is earmarked to advance the frontier of general-purpose high-performance robots, particularly those powered by embodied AI foundation models. The funding round was co-led by Robostrategy, CRV, and First Round Capital.

Additional prominent investors include Salesforce Ventures, NVentures (NVIDIA’s venture capital arm), the Amazon Industrial Innovation Fund, Samsung Next, and LG Technology Ventures. "Excited to announce that we have raised $120M in our Series A to advance the frontier of general-purpose high-performance robots," Dyna Robotics stated in a social media post. This capital infusion will bolster research and engineering teams, enhance existing robots for commercial environments, and scale deployments.

The company plans to leverage the new funding to accelerate progress towards its mission of "bringing foundation-model powered robots to everyone, everywhere." This involves expanding infrastructure, diversifying use cases, and intensifying commercialization efforts. According to RoboStrategy CEO Andrew Kang, “The demand for robotic automation spans almost every industry, and we believe Dyna will be at the forefront.”

Founded by Lindon Gao and York Yang, who previously sold Caper AI for $350 million, alongside former DeepMind research scientist Jason Ma, Dyna Robotics has made rapid strides. The company had previously secured a $23.5 million seed round in March. Their flagship product, the DYNA-1 robotic foundation model, has demonstrated a success rate exceeding 99% during 24-hour continuous operations.

Dyna Robotics' robots are already operational for up to 16 hours daily in diverse settings such as hotels, restaurants, and gyms. Lindon Gao emphasized the importance of their approach, stating, "Our models continuously improve with each customer deployment, generating high-quality data." He added that their robots exhibit "true generalisation" and can function "out of the box" in new environments.