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For 9+ years we’ve been building simulators, data engines, data pipelines, scenario editors, RL environments, what's now world models... and dozens of other products. Now we’ve connected them all under one agentic layer. It is not just another harness but also the broader system to safely design, develop, and... deploy Physical AI. I continue to believe a modern, AI-first development environment is one of the biggest bottlenecks to putting intelligence on a billion machines. Unsurprisingly, we’ve been using it internally for a while now and the impact has been profound in almost every measurable way. As you might know, our old office was on the corner of Pioneer and Dana – and calling it Pioneer would be too cliche. Introducing Dana :)show more

Qasar Younis

39,058 subscribers

85,330 views • 2 months ago •via X (Twitter)

Science & Technology

Anya Rossi• Live Now

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31 Comments

Aatif Awan2 months ago

Congrats on the launch! Super exciting

Kimberly Tan2 months ago

Congrats on the launch!!

Erik Torenberg2 months ago

Epic

Nakul Mandan2 months ago

🔥

Ryan Hoover2 months ago

Faassscinating

Grace Isford2 months ago

very exciting launch!!

Jake Jolis2 months ago

chatgpt moment for physical ai

Hassaan Raza2 months ago

Absolutely incredible, as always!

KP bhoomika2 months ago

"9+ years of building" but the biggest flex is naming it after a street corner 😭

Jeff Huber2 months ago

cool, what does Dana stand for?

varad2 months ago

very exciting!

Kareem Nassar2 months ago

Congrats Qasar and team! 'We built Dana, then Dana changed how we build.' An AWS moment for physical AI — internal infra, proven on your own workloads, opened as the platform. Useful in so many domains.

Samian2 months ago

9 years and you're calling it an agentic layer? feels like a branding pivot for a lot of unrelated infra.

安叫兽|Bird🕊️ 🔶 BNB2 months ago

九年攒出来的工具链终于串起来了

Nathaniel Montana2 months ago

Congrats on the launch!!

Tanay Jaipuria2 months ago

congrats on the launch! very exciting

Subramanya N2 months ago

does Dana flag when a generated scenario depends on stale simulator assumptions?

Tom Hammer 🔨2 months ago

love the inside look on how you picked the name

Christopher Faraguna2 months ago

I have technology that can help you with your goals. dm me

Tasnia Huque2 months ago

incredible! welcome dana

Lucky Cat2 months ago

congrats on the launch, 9 years of work paying off

Jason Marks2 months ago

This is awesome!

Shabih Rizvi2 months ago

Incredible!

Ryan Shea2 months ago

Amazing work Qasar, congrats on the launch!

Troy Kirwin2 months ago

so cool

Haseeb Awan - efani.com2 months ago

This is exciting development. Cant wait for every machine to just do everything themselves

Ali Partovi2 months ago

Wow congratulations Qasar!

Adam Perold2 months ago

💥💥💥

Daniel Jabbour2 months ago

🚀🚀🚀🚀

The World Model Report2 months ago

Everyone's obsessed with model weights while the actual bottleneck is exactly this: the loop from scenario to sim to deployed policy. Whoever owns that iteration loop owns physical AI, the same way CUDA ended up owning deep learning.

Muzzammil Zaveri (MZ)2 months ago

Congrats!

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