Dyna Robotics company profile: valuation, funding & revenue

This Dyna Robotics company profile covers the company's valuation, revenue, funding rounds, investors and history. Dyna Robotics works in robotics, with a focus on robot foundation models. It was founded in 2024 and is headquartered in Redwood City, California, United States. Its latest valuation on record is More than US$600 million (September 2025). Every figure links to a public source, and anything the company hasn't disclosed is marked as such.

Revenue

Funding history

Dyna Robotics timeline

Key dates from the sources on this page, oldest first. Metric snapshots are listed after the funding events.

• 2024 — Dyna Robotics is founded in Redwood City by Lindon Gao (CEO), York Yang and Jason Ma.
• Mar 2025 — Seed: US$23.5M. Investors: CRV and First Round Capital.
• Sep 2025 — Series A: US$120M, valuing the company at More than US$600M. Investors: CRV, First Round Capital and RoboStrategy (leads); NVentures (Nvidia), Amazon Industrial Innovation Fund.
• September 2025 — Total funding: About US$143.5 million.

Investors

Dyna Robotics builds AI models that let robot arms do useful, repetitive work, such as folding laundry and napkins, reliably enough to be paid for it. Founded in 2024, it raised a US$120 million Series A in September 2025 at a valuation above US$600 million, with Nvidia's and Amazon's venture arms among the investors. This profile explains Dyna's approach, its funding, how it differs from humanoid companies and what to watch.

Dyna's valuation and funding

In September 2025 Dyna raised US$120 million in a Series A led by CRV, First Round Capital and RoboStrategy, with NVentures, Nvidia's venture arm, and Amazon's Industrial Innovation Fund participating, according to Bloomberg Law. The round valued the company at more than US$600 million. It followed a US$23.5 million seed round in March 2025, also led by CRV and First Round, bringing total funding to about US$143.5 million, according to Sacra. We found no later priced round as of October 2026.

What Dyna builds

Dyna develops a robot foundation model, called DYNA-1, that controls off-the-shelf robot arms. Its central claim is reliability: rather than demonstrating impressive one-off tricks, it aims for robots that can work for hours with very high success rates on a specific commercial task. Its early deployments have included folding napkins and towels for restaurants, hotels and laundry operations, which are tedious, labour-intensive jobs where a dependable robot has a clear return.

The model learns from demonstrations and from the robot's own experience on the job, improving as it works. A key idea is that a robot doing real paid work also generates the data needed to get better, so commercial deployment and research reinforce each other. Dyna's longer-term goal is a general model that can be adapted quickly to many tasks.

Founders

Dyna was founded by Lindon Gao, the chief executive, and York Yang, who previously co-founded Caper AI, a smart shopping cart company acquired by Instacart, along with Jason Ma, a robotics researcher. The founders' experience of building and selling a hardware business shapes Dyna's focus on commercial reliability rather than pure research.

How Dyna differs from humanoid companies

Companies such as Figure AI and 1X build full humanoid bodies. Dyna instead focuses on the software brain and uses existing, relatively cheap robot arms, which keeps hardware costs down and lets it deploy sooner. It is closer in spirit to Physical Intelligence and Skild AI, which also build general robot models, but Dyna emphasises getting paid deployments working now. See our guides to robotics startups and humanoid robots.

Why robot foundation models attract investors

Large language models showed that training one big model on huge datasets can produce general abilities. Investors are betting the same could happen for physical tasks: a model trained on data from many robots and tasks might generalise to new ones. The bottleneck is data, because there is no internet-scale archive of robot actions. Companies that get robots into real workplaces collect that data faster, which is why Dyna's deployment-first strategy appeals to backers such as Nvidia and Amazon, both of which have large interests in robotics and logistics.

Competitive landscape

Dyna competes with other robot model developers including Physical Intelligence, Skild AI and Google DeepMind's robotics work; with humanoid makers building their own models; and with traditional automation companies that program robots for fixed tasks. Its advantages are a narrow commercial focus and low hardware costs; its challenge is proving that its model generalises beyond a few tasks.

Risks

• Generalisation: success on folding may not transfer easily to other jobs.
• Competition: rivals have raised far more money.
• Unit economics: robot deployments must cost less than the labour they replace, including maintenance.
• Customer adoption: hospitality and laundry businesses may be slow to adopt new technology.

Questions to ask

• How many robots are deployed commercially, and what are their success rates and uptime?
• How quickly can Dyna train a new task, and with how much data?
• What does a customer pay compared with the labour saved?
• Which robot arms does it support, and at what cost?

Timeline in brief

• 2024: founded in the San Francisco Bay Area.
• March 2025: US$23.5 million seed round led by CRV and First Round.
• 2025: commercial folding deployments begin.
• September 2025: US$120 million Series A at more than US$600 million.

Dyna Robotics at a glance

Dyna Robotics is a robot foundation model company founded in 2024 by Lindon Gao, York Yang and Jason Ma, based in Redwood City, California. It raised a US$23.5 million seed round and a US$120 million Series A in 2025, the latter at a valuation above US$600 million with investors including CRV, First Round, Nvidia's NVentures and Amazon. Its DYNA-1 model powers robot arms doing commercial tasks such as folding.

Who uses Dyna's robots

Dyna's early customers are businesses with large volumes of soft goods to handle: commercial laundries, hotels, restaurants and facilities companies that fold thousands of towels, napkins and linens a day. These jobs are hard to staff, physically repetitive and measured simply by output per hour, which makes it easy for a customer to judge whether a robot pays for itself. Dyna typically installs a robot station, trains the model on the customer's items and charges on an ongoing basis, so the customer is buying a service rather than a machine.

Valuation context

A valuation of a little over US$600 million is small next to the largest robot model companies, several of which have raised at more than US$10 billion. That gap reflects Dyna's youth and narrower scope rather than a judgement on its technology. If it can show that the same model learns new tasks quickly and runs reliably across many customer sites, a larger round at a much higher price would be the usual next step, as happened for peers in 2025 and 2026.

What to watch

Watch for a Series B, new task categories beyond folding, the number of paid deployments and partnerships with robot hardware makers or logistics companies.

Takeaways

Dyna is a bet that reliable, paid robot work today is the fastest path to general-purpose robots tomorrow. Its valuation is modest by robotics standards, which leaves room to grow if its model proves it can learn many jobs.

Sources

Every figure on this page comes from the public sources below. Where sources disagreed, we used the company's own announcement or a primary news report. Private-company data changes; check the date beside each figure.

1. Bloomberg Law
2. Sacra