Our Mission
Build the data backbone for Physical AI.
We exist to close the gap between the digital world AI has mastered and the physical world it still can't navigate — by building the infrastructure that makes real-world machine intelligence possible.
Why We Exist
The physical world has no data infrastructure.
The most transformative AI systems of the last decade — GPT-4, Gemini, Claude — were built on one thing: massive, high-quality training data from the internet. Text and images, at scale.
But the internet doesn't contain what robots need. The physical world — warehouses, hospitals, kitchens, construction sites — has no equivalent data layer. No structured egocentric pipeline. No long-horizon task annotations. No multi-sensor, research-ready datasets at scale.
That's the gap MyTron Labs was built to close.
What We Stand For
Principles that guide everything we build.
Infrastructure First
Great AI systems are built on great data infrastructure. We obsess over pipelines, not demos — because reliable, scalable data delivery is what actually moves research forward.
Quality Over Volume
A million hours of unstructured video is less valuable than a thousand hours of well-annotated, multi-modal task data. We build for depth, not just scale.
Security by Default
Physical-world data involves people, environments, and sensitive operations. We build with end-to-end encryption, GDPR compliance, and auditable access controls from the start.
Research Partnership
We don't sell data products — we build partnerships with AI research teams. Understanding their specific training needs shapes everything we capture and annotate.
Long Horizons
The problems worth solving in Physical AI are multi-year bets. We're building infrastructure that will still be relevant when general-purpose robotics arrives — because we believe it's coming.
Move With Urgency
The ChatGPT moment for robotics is near. The teams that will lead that transition are building the data layer now. We operate with the urgency that moment deserves.
Our Vision
A world where intelligent machines can operate safely and usefully everywhere humans do.
We measure our success by the quality of the AI systems trained on our data — and ultimately by how much that intelligence improves human lives in the physical world.