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Nomadic AI@nomadicai·21 Nis

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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Nomadic AI@nomadicai·5d

4/ Nomadic is built for that level of structure. We combine robot telemetry with visual context so the system can identify both the timing of each action and what the robot is interacting with. The result is a searchable timeline of physical behavior: the kind of data layer robotics teams need for training, debugging, and evaluation. Full benchmark: nomadicai.com/blog/action-se…

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Nomadic AI@nomadicai·5d

3/ The hard part is that many of these transitions happen faster than a human can comfortably label, and faster than a generic VLM can reliably interpret from sampled frames. A gripper closes, a peg slips, a blade hits resistance, or the robot pauses and recovers. These are tiny physical events, but they often determine whether the behavior succeeded or failed.

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Nomadic AI@nomadicai·5d

Fine-grained subtask annotations improve VLA performance. We trained a vision + proprioception model that’s now SOTA at generating them, generalizing across embodiments. 93.1 F1@50 on REASSEMBLE, 98.6 on @Amazon Robotics blade insertion. Details below 👇🧵

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Nomadic AI@nomadicai·2 Tem

@VilleKuosmanen We solve this autonomously :) Here it is running on @xdofai 's ABC-130k, using RGB + trajectories: app.nomadicml.com/live-demo/use-…

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Ville🤖@VilleKuosmanen·2 Tem

who is everyone using for robotics data labelling? I have spent enough time in the data labelling mines

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Nomadic AI@nomadicai·8 Haz

🤖 👀 🧠 What an amazing time at #CVPR2026 spreading the word & love on video AI, chess & baklavas! Thank you to all attendees, see you again next year in Seattle. 👋

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Nomadic AI@nomadicai·2 Haz

Skip the happy hour at #CVPR2026. Come play 1v15 chess, eat too much baklava, and talk AI with us. ♟️🍮 Our CTO IM Varun Krishnan (FIDE 2405) takes on 15 challengers at once. Our CEO can't beat a bot but serves a mean baklava. 📍 Hyatt Regency Denver, Mineral Hall A 📅 Fri June 5, 4–7 PM RSVP: luma.com/sgbgvh45

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Nomadic AI@nomadicai·19 May

Nomadic AI is heading to #ICRA2026 in Vienna (June 1-5)! Stop by Booth S00B to see how we turn raw, multimodal, multirate interaction data into searchable, actionable intelligence automatically. ✦ Automatically surface failure modes ⇒ no costly manual review ✦ Segment every motion instantly ⇒ cut annotation time by hours ✦ Detect complex and ambiguous motion patterns ⇒ catch what manual review misses Want to see it in action? We look forward to meeting you in Vienna! #ICRA2026 #Robotics #NomadicAI #PhysicalAI

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Nomadic AI@nomadicai·15 May

Robotics teams are sitting on a goldmine they can't access. 🤖 95% of fleet video sits in archives, waiting for a human to find the one moment that matters. That's why physical AI is stuck at demo stage. Nomadic AI turns raw footage into training signal. ⚡

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Nomadic AI@nomadicai·1 May

@pulkitology @EkaRobotics @haarnoja Congratulations @pulkitology and the @EkaRobotics team! 👏🚀

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Pulkit Agrawal@pulkitology·30 Nis

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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Nomadic AI@nomadicai·29 Nis

3/ Here’s the live example: app.nomadicml.com/live-demo/use-…

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Nomadic AI@nomadicai·29 Nis

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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Nomadic AI@nomadicai·29 Nis

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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Nomadic AI@nomadicai·22 Nis

@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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Alexander Johonnuson, CEO, TB, CE.@AlexanderJoh10·22 Nis

@nomadicai Cool! Do you have some use cases within industrial applications?

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Nomadic AI@nomadicai·21 Nis

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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Nomadic AI@nomadicai·21 Nis

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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Nomadic AI@nomadicai·21 Nis

@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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Benjamin De Kraker@BenjaminDEKR·21 Nis

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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Nomadic AI@nomadicai·21 Nis

@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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Thomas Tao@Thomas_Tao_1·21 Nis

@nomadicai Yeah, fluent reasoning is cheap. Real progress is when the model can point back to the exact frames.

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Nomadic AI@nomadicai·21 Nis

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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Nomadic AI@nomadicai·21 Nis

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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Nomadic AI

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