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🚀 We raised $8.4M from TQ Ventures, Pear VC, Jeff Dean, Scott Wu, and others who believe visual data infra is the defining bottleneck in physical AI!
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Nomadic AI
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Nomadic AI
@nomadicai
Unlock Physical AI in the Real World: Turn robotic and driving video into intelligence for physical autonomy.
San Francisco, CA Katılım Haziran 2024
53 Takip Edilen227 Takipçiler
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Couldn't be more thrilled to have co-founded @EkaRobotics with @haarnoja. Robots will never be slow again.
Tuomas Haarnoja@haarnoja
I'm really proud to finally share what we've been up to at Eka. Manipulation is all about forces (literally!), and we've built the first force-native robot learning stack. It's time to bring robotics back to its roots. 🤖🦾
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2/ This is the kind of workflow Nomadic’s agentic platform enables.
It infers mapping intent from the query, inspects the videos for potholes and GPS overlays, and maps the events automatically.
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1/@Waymo's recent pothole mapping partnership with @waze is a great example of vehicles becoming infrastructure observers.
The next unlock is making this work beyond AV fleets with specialized sensor stacks.
With Nomadic, ordinary dash cam footage can become mapped road events: potholes, hazards, blocked lanes, damaged signs, and more.
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@AlexanderJoh10 Certainly! We can for example auto-segment an industrial welding instance.
Check out this example on our platform: app.nomadicml.com/live-demo/use-…
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@nomadicai Cool! Do you have some use cases within industrial applications?
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The future of computer vision is agentic.
1/ We built Nomadic around a gap we kept seeing in video understanding: VLMs generate chain-of-thought that's fluent and often correct in structure, but weakly grounded in what's actually in the video.
This limitation shows up in cases like "rolling stops". Is the stop sign actually associated with the vehicle’s lane? Does the ego vehicle ever come to a full stop, or only decelerate?
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We’re hosting an all-expenses-paid trip to Iguazu Falls for select #ICLR2026 attendees.
Come meet us!
luma.com/7jhhr1st
Nomadic AI@nomadicai
The future of computer vision is agentic. 1/ We built Nomadic around a gap we kept seeing in video understanding: VLMs generate chain-of-thought that's fluent and often correct in structure, but weakly grounded in what's actually in the video. This limitation shows up in cases like "rolling stops". Is the stop sign actually associated with the vehicle’s lane? Does the ego vehicle ever come to a full stop, or only decelerate?
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@BenjaminDEKR Appreciate it, @BenjaminDEKR. Airplanes don’t fly by flapping like birds, yet they’re essential infrastructure!
Our system is helping many teams to make sense of their video. See it in action here:
app.nomadicml.com/live-demo/use-…
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Neat! ...but absolutely nothing like how humans actually drive.
We don't constantly narrate our driving in our heads using words. (Which is why you can hold a conversation, listen to a podcast, sing while driving safely)
Nomadic AI@nomadicai
The future of computer vision is agentic. 1/ We built Nomadic around a gap we kept seeing in video understanding: VLMs generate chain-of-thought that's fluent and often correct in structure, but weakly grounded in what's actually in the video. This limitation shows up in cases like "rolling stops". Is the stop sign actually associated with the vehicle’s lane? Does the ego vehicle ever come to a full stop, or only decelerate?
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@Thomas_Tao_1 And that is exactly what we do! See above example in action: app.nomadicml.com/live-demo/use-…
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@nomadicai Yeah, fluent reasoning is cheap. Real progress is when the model can point back to the exact frames.
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4/ We're looking for talented researchers, engineers, and biz-devs who want to build the agentic visual data engine.
At ICLR this week? Come find us Thu 4/23, 12:15 PM, Room 208: luma.com/b82kmg5p
#join" target="_blank" rel="nofollow noopener">nomadicai.com/our-team#join
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3/ Teams in autonomous driving, robotics, and construction use Nomadic to uncover edge cases, build higher-quality training datasets, and keep watch over their deployed fleets.
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Already used by Zoox, Mitsubishi Electric, Zendar, and NATIX. Video stops being an archive. It becomes a system that continuously surfaces signal you can trust. 🤖
Read more → nomadicai.com/blog/fundraise…
TechCrunch article → techcrunch.com/2026/03/31/nom…
#PhysicalAI #Robotics #NomadicAI
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The validation step is what makes it usable. Every candidate event is treated as a hypothesis. The system actively looks for ways it could be wrong, and only surfaces it when alternative explanations fail.
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🚀 We raised $8.4M from TQ Ventures, Pear VC, Jeff Dean, Scott Wu, and others who believe visual data infra is the defining bottleneck in physical AI!
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Defensible events, not just detected ones. No manual filtering. Ready to act on directly. ✅
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@zachglabman We’re organizing our Video & Voice AI hackathon with our friends at @knowtexai and @hf0 this Saturday! Multi-sensory perception for robotics is one of our tracks. luma.com/4cvz0tzf
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Nomadic AI retweetledi
The next wave of Physical AI will be built on video, but data + extraction are still the bottlenecks.
That’s why we’re partnering with @NomadicML to bring NATIX’s multi-camera video data into one of the strongest video-native AI systems in the space. 🤝
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