Humyn Labs

We're Humyn Labs. With us, every robot works fine.

We turn human experience into robot skills built from thousands of hours of model-ready data.

Unlike LLMs, that learnt from the entire internet, robotics data doesn't get that shortcut.

Robots need real-world experience to learn how to:
- Iron clothes with a toddler underfoot and a dog at your heels
- Restock shelves while navigating a crowded, constantly changing store
- Assemble components amid the variability of a real factory floor

That experience happens once, in the physical world, and disappears.

We’re building the data platform Physical AI learns from: four sensory modalities, real-world environments, and the human experience needed to turn moments into skills.

On benchmarks, hand tracking looks solved. On real work, it breaks.

We tested 4 open models on people at work. In a dim stockroom, two of them swapped left and right in up to 84% of the darkest frames.

What broke, why, and what we built to fix it ↓ x.com/i/article/2121…

Claims and reality look different.
@pushpak_agr and team are testing them out one by one in the lab.

pi 0's model is open. its ~10,000 hours of training data aren't.

you can run it and fine-tune it, but you can't rebuild it from scratch.

what that means if you're picking a vla: x.com/i/article/2121…

On benchmarks, hand tracking looks solved. On real work, it breaks.
We tested 4 open models (WiLoR, HaWoR, EgoForce, Dyn-HaMR) on people doing real jobs.

Here's what broke, why, and what we built to fix it ↓