Paddy builds standardized teleoperation infrastructure for companies training vision-language-action models — from the hardware rig to the delivered dataset.
"Garbage in, garbage out — even at scale. Inconsistent data collection is why most VLA training runs underperform."
Most Physical AI companies collect training data the same way: improvised rigs, inconsistent schemas, no standardized capture protocol. The operator setup changes between sessions. The camera angles drift. The joint state frequency doesn't match what the deployed system expects.
The result is datasets that introduce noise into training rather than signal. You spend months collecting data and the model still generalizes poorly — not because of the model, because of the data.
We built Paddy to close that gap. Standardized hardware, standardized schema, standardized operator protocol. Every collection engagement produces data that's clean enough to train on and consistent enough to compound across engagements.
Dual-arm teleoperation platform built for specialized environments. Portable — travels to your lab or facility. Matched to whatever you deploy, so the data your model trains on reflects the hardware it runs on.
Includes 2× UFactory xArm 7 arms, the Harvester frame and mobile base, and camera mounting kit for RealSense. Accessories available for an additional fee.
Reserve a unit →We deploy collection rigs and collect the data — that's it. Purpose-built for Physical AI companies that need high-quality manipulation demonstrations without building the infrastructure themselves.
We deploy a Harvester rig at your facility, matched to your production hardware. Standardized data pipeline from day one — no improvised setups, no schema drift between sessions.
We run the collection and send you the data. You define the task and environment — we handle operator protocol, QA, and delivery in your preferred format.
Working with Physical AI companies in lab automation now. Tell us what you're building — robot hardware, tasks, environment, and data volume.