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Dyna Robotics Raises $120 Million to Advance Robotic Foundation Models on the Path to Physical Artificial General Intelligence

Dyna Robotics logo (PRNewsfoto/Dyna Robotics)

News provided by

Dyna Robotics

Sep 15, 2025, 17:00 ET

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In its first year, Dyna released its breakthrough DYNA-1 foundation model, achieved a 99+% success rate in 24-hour non-stop operation, and proved commercial viability through customer deployments.

Dyna will use the latest funding round to expand its team, accelerate delivery of production-ready general purpose robots powered by proprietary embodied AI foundation models, and scale deployments across industries.

REDWOOD CITY, Calif., Sept. 15, 2025 /PRNewswire/ -- Dyna Robotics today announced it has closed a $120 million Series A funding round, led by Robostrategy, CRV, and First Round Capital, with participation from Salesforce Ventures, NVentures (NVIDIA's venture capital arm), the Amazon Industrial Innovation Fund, Samsung Next, and LG Technology Ventures. The new capital will be used to expand its world-class research and engineering team and accelerate the development of its next-generation foundation model as the company works to deliver high performance general-purpose robots in commercial environments.

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DYNA Robotics' robot
DYNA Robotics' robot

Dyna has made rapid progress since raising a $23.5 million seed round in March, including launching its DYNA-1 model, a breakthrough robotics foundation model that pushed the performance of robots to a 99+% success rate in 24 hours of non-stop operation. After just six months, Dyna's robots were running sixteen hours a day at hotels, restaurants, laundromats, and gyms.

Dyna is the first to build a single-weight, general-purpose foundation model that can perform diverse daily tasks at commercial scale across varied environments. Its model has been deployed at multiple customer sites, supporting the model's generalization commercial viability and continuing to learn and improve rapidly from on-the-job experience.

"A strong foundation model is key to scalable distribution," said Lindon Gao, co-founder and CEO of Dyna Robotics. "Our models continuously improve with each customer deployment, generating high-quality data. We are observing true generalization as our robot enters new environments; it simply works out of the box, with no additional data."

"Our first principle is to design robot foundation models that attain both generalization and performance," said co-founder Jason Ma, a former DeepMind research scientist who has focused his career on developing foundation models for robotics. "Scalable real-world robot learning systems need to master and generalize many manipulation skills. To achieve the best performance on complex tasks, Dyna's foundation models are developed to enable general world understanding while learning from the models' own experience for rapid online learning."

Dyna co-founders Lindon Gao and York Yang teamed up with Ma after seeing the potential to advance AI through real-world applications first-hand while building Caper AI, which combined software and hardware to bring AI-powered smart carts to retailers worldwide. Their product made rapid advancements as soon as it went into production, and the company exited in 2021 for $350 million.

By combining their experience creating practical, production-ready AI with deep research expertise and building a world-class team of researchers and operators, they are building embodied AI robots that are useful for businesses now, using that "on-the-job" experience to build toward physical AGI.

"Right now, three forces are colliding at once: AI breakthroughs are maturing, hardware is accelerating, and the demand for labor has never been higher. That convergence has created a once-in-a-generation opportunity," said co-founder York Yang. "Dyna has made rapid progress over 12 months and we believe our ultimate goal, achieving physical AGI, is not far off."

From the investors:

RoboStrategy

"Dyna's team and mission bridges research excellence and real world commercial applications. The demand for robotic automation spans almost every industry, and we believe Dyna will be at the forefront in meeting it with their state of the art general-purpose robot foundation model. We're thrilled to co-lead this Series A and support the team's ambitious roadmap of driving mass adoption of general-purpose robots."

— Andrew Kang, CEO, RoboStrategy

CRV

"Dyna Robotics is at the forefront of embodied AI, delivering foundation models that combine generalization and commercial-level performance. We invested in the company from day one and are excited to double down on leading Dyna's Series A. Lindon, York, and Jason bring together the rare combination of proven entrepreneurial success, deep technical expertise, and the operational know-how to scale AI in the real world. We couldn't be more excited to back the best team positioned to lead the physical AGI revolution."

– Max Gazor, General Partner, CRV

First Round Capital

"At First Round, we back exceptional founders tackling massive problems, and Dyna Robotics checks every box. Their early results are remarkable. In just one year, Dyna has pushed the boundaries of embodied AI with unprecedented generalization and commercial-grade performance. We're thrilled to lead their Seed and Series A to fuel Lindon, York, and Jason's vision to power the future of the physical economy."

– Bill Trenchard, Partner, First Round Capital

About Dyna Robotics

Dyna Robotics makes general-purpose robots powered by a proprietary embodied AI foundation model that generalizes and self-improves across varied environments with commercial-grade performance. Dyna's robots have been deployed at customers across multiple industries. Dyna Robotics was founded by repeat founders Lindon Gao and York Yang, who sold Caper AI for $350 million, and former DeepMind research scientist Jason Ma. The company is backed by top investors, including CRV and First Round. Learn more at dyna.co.

SOURCE Dyna Robotics

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Dyna Robotics Unveils DYNA-1: The First Commercial-Ready Robot Foundation Model Offering Fully Autonomous, Round-the-Clock Dexterity

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