Brain
Dyna Robotics' DYNA-1 is a dexterous robot foundation model for sustained autonomous manipulation, launched April 29, 2025 from Redwood City, California. It runs on a pair of stationary dual robotic arms and is trained with imitation learning plus reinforcement learning against a proprietary custom reward model that lets the system self-recover from errors and generate its own training data, which Dyna positions as its core technical differentiator.
The company describes it as a single-weight, general-purpose vision-language-action model but has not disclosed its parameter count or published a technical paper, and its weights and code are closed. Dyna frames DYNA-1 as the first dexterous robot foundation model deployed in commercial settings, a company superlative the registry records as a claim rather than a verified industry first.
Its disclosed deployment environments are hotels, restaurants, laundromats, and gyms, with robots reported running about sixteen hours a day after six months, but no specific customer, site, or unit count is named, so the commercial deployment is recorded as demonstrated and early or pilot stage rather than verified at scale. Its headline results are company-reported demonstrations: more than eight hundred napkins folded across twenty-four continuous hours with zero human intervention at a 99.4 percent success rate, at roughly 60 percent of human throughput, and a 99.9 percent success rate self-reported via Dyna's X account at the three-day HITEC 2025 trade-show demo.
Dyna Robotics was founded in 2025 by Lindon Gao, the chief executive, and York Yang, who previously built the smart-cart company Caper AI that Instacart acquired in 2021, together with co-founder Jason Ma, a former research scientist at Google DeepMind. It raised a 23.5 million dollar seed round in March 2025 led by CRV and First Round Capital, and a 120 million dollar Series A in September 2025 led by RoboStrategy, CRV, and First Round Capital with participation from NVentures, the Amazon Industrial Innovation Fund, Salesforce Ventures, Samsung Next, and LG Technology Ventures; a post-money valuation above 600 million dollars is reported but not company-confirmed.
No successor model had been announced as of June 2026.
Foundation model · Maturity: Commercial · Closed · Powers 1 robot
Machine-readable surfaces
- Markdown mirror: /brains/dyna-1.md
- RSS feed: /brains/dyna-1/feed.xml
- JSON-LD: embedded in this page’s head
- REST API: /v1/brains/d6d82b6f-8531-4216-b110-7a2b53dd7a73
- Revision history: /brains/dyna-1/history
- Data documentation: /data
- Query this programmatically: Deploy MCP
Architecture
Dexterous robot foundation model (VLA) for sustained autonomous operation on a pair of stationary dual robotic arms (the Dyna Robotics 'Dynasaur' system, not humanoid).
Key facts
- Model: DYNA-1
- Dexterous robot foundation model; single-weight, general-purpose; self-described (via Dyna's X) as a vision-language-action model. Weights and code CLOSED; parameter count undisclosed; no arXiv/technical paper. Launched Apr 29 2025, Redwood City CA. No DYNA-2 as of Jun 2026 (a next-gen model is funded by the Series A but unnamed/in-development).
- Architecture / differentiator
- Trained with imitation learning + reinforcement learning against a PROPRIETARY CUSTOM REWARD MODEL that provides feedback so the robot self-recovers from errors and generates its own training data. The reward-model self-recovery loop is the company's headline technical differentiator.
- Deployment (verified-vs-claimed)
- Disclosed environments: hotels, restaurants, laundromats, gyms; robots reported running ~16 hrs/day after six months. NO named customer, site, or unit count -> recorded as DEMONSTRATED + early/pilot, NOT verified deployed-at-scale. 'First dexterous robot foundation model deployed commercially' is a COMPANY SUPERLATIVE, recorded as a claim not a verified industry first. (Corrects prior record: removed the unverified 'Dynasaur' hardware name and 'factories', which no source supports.)
- Headline results (provenance-flagged)
- 800+ napkins folded / 24 continuous hours / zero intervention / 99.4% success (at ~60% human throughput) = company demonstration. 99.9% success = SELF-REPORTED via Dyna's X account at the HITEC 2025 trade-show demo (3 days x 8 hrs), not third-party-verified and not a customer site.
- Funding
- Seed $23.5M (Mar 25 2025, led CRV + First Round Capital). Series A $120M (Sep 15 2025, led RoboStrategy + CRV + First Round Capital; participation NVentures/NVIDIA, Amazon Industrial Innovation Fund, Salesforce Ventures, Samsung Next, LG Technology Ventures). Post-money valuation >$600M is REPORTED-ONLY (Bloomberg/Investing.com); official PR says undisclosed - cap-flag.
- Founders / pedigree (CORRECTED)
- Lindon Gao (CEO) + York Yang - both previously built Caper AI (smart shopping carts, acquired by Instacart 2021 for ~$350M) - plus co-founder Jason Ma, a former Google DeepMind research scientist. NOTE: the dispatched 'ex-Cobalt Robotics / ex-Anthropic / ex-Tesla' pedigree is UNSUPPORTED by any primary source and was NOT ingested; the verified pedigree is Caper AI/Instacart + DeepMind.
- Cohort throughline
- Among dexterous robot foundation models (Physical Intelligence pi0/pi0.5, NVIDIA GR00T, Skild Brain, Sanctuary Carbon), DYNA-1's editorial differentiator is leading with a commercial-deployment framing plus the reward-model self-recovery loop. But its deployment evidence is demonstrated/pilot with unnamed customers, so the distinction is editorial positioning, not a verified at-scale deployment lead over peers.
Developed by (1)
Powers (1)
- Sophy SwiftfoldDyna Robotics · service
Where DYNA-1 runs
View the global mapDeployments of robots powered by DYNA-1, by place and type.
Common questions
What is DYNA-1?
Which robots run on DYNA-1?
Who developed DYNA-1?
Is DYNA-1 open source?
What type of AI is DYNA-1?
What is DYNA-1's maturity stage?
Sources (7)
- https://www.prnewswire.com/news-releases/dyna-robotics-unveils-dyna-1-the-first-commercial-ready-robot-foundation-model-offering-fully-autonomous-round-the-clock-dexterity-302441437.html
- https://www.prnewswire.com/news-releases/dyna-robotics-raises-120-million-to-advance-robotic-foundation-models-on-the-path-to-physical-artificial-general-intelligence-302556817.html
- https://www.prnewswire.com/news-releases/dyna-robotics-raises-23-5-million-to-commercialize-embodied-ai-with-low-cost-robots-302410263.html
- https://www.therobotreport.com/dyna-robotics-closes-120m-funding-round-to-scale-robotics-foundation-model/
- https://siliconangle.com/2025/04/29/dyna-robotics-debuts-dyna-1-foundation-model-powering-robots/
- https://thelettertwo.com/2025/04/29/dyna-robotics-unveils-dyna-1-a-robot-model-promising-performance-out-of-the-box/
- https://x.com/DynaRobotics/status/1940443709621109186
Methodology: Aggregator drift detected · 7 sources (3 primary) · last reviewed 2026-06-04
Verification posture
Aggregator drift detected
Cap-flag required
Review state
Drift-flagged
Last reviewed 2026-06-04
3 anchored drift pattern(s); see cap_flags
Maturity + lifecycle
Maturity stage: commercial
Sources by quality tier
- 3
- primary-company-ir
- Company IR disclosure
- 3
- unclassified
- Unclassified source
- 1
- secondary-trade-publication
- Trade publication
Cap flags
Claim: Dynamic AI's Dyna-1 product is called Dynasaur
Honest status: No verified source supports 'Dynasaur' as a Dynamic AI hardware product name. The name appears to be aggregator fabrication.
'Dynasaur' is not a verified Dynamic AI product name. No primary source supports the name.
Claim: Dyna-1 founders are ex-Cobalt Robotics / ex-Anthropic / ex-Tesla
Honest status: Dynamic AI founders are Lindon Gao + York Yang (ex-Caper AI) + Jason Ma (ex-Google DeepMind). The ex-Cobalt / ex-Anthropic / ex-Tesla framings are aggregator drift.
Dyna-1 founders are Lindon Gao + York Yang (ex-Caper AI) + Jason Ma (ex-Google DeepMind), not ex-Cobalt / ex-Anthropic / ex-Tesla.
Claim: Dyna-1 deploys in factories
Honest status: Dyna-1's documented deployment contexts are hotels, restaurants, laundromats, and gyms. Factory deployment claims are aggregator drift; the form factor and capability profile target service environments, not industrial.
Dyna-1 deploys in hotels / restaurants / laundromats / gyms, not factories.
The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.
Methodology surface for DYNA-1.Canonical ID d6d82b6f-8531-4216-b110-7a2b53dd7a73