Physical AI data
phydata designs and runs real-world data collection for robotics labs and model teams. We capture demonstrations of the task your model is missing, record every stream on one clock, and deliver validated training data in your schema.
Each collection is designed around one capability. The brief decides which streams exist before anyone records.
From a capability gap to training data, in four steps.
Define the capability, conditions, signals, and success criteria.
Run real demonstrations and retain failures, corrections, and recoveries.
Synchronize every stream and link each derived label to its source evidence.
Provide validated training data in the model team's schema.
Programs run where the work happens, each built around the variation that decides whether the task succeeds.
Training data your team can load on day one.
What teams ask before they start a collection.
Data that records how a physical task is actually done: what was seen, how hands and tools moved, the conditions, the decisions, and the outcome, synchronized so a model can learn which actions lead to success. phydata collects it from real demonstrations.
phydata does. phydata designs and runs real-world data collection for robotics labs and model teams around the capability their model is missing, and delivers synchronized training data in their schema.
Yes. The Industrial Manipulation and Tool Use programs capture approach, contact, recovery, and release, and how tools are selected, oriented, corrected, and released, with force and contact sensing added where the task needs it.
Video from more than one view, hand motion, tool state and angle, contact force where the sensor is fitted, the conditions the task ran in, and its outcome. Pressure and other tactile signals are on our sensing roadmap. The brief decides which streams exist before anyone records.
Where the work happens: farms, yards, workshops, streets, warehouses, industrial cells, and surgical settings.
As validated training data in your team's schema. Every stream is synchronized on one timeline, each derived label links back to its source evidence, and every stream becomes a file your loader already understands.
phydata designs and runs the collection itself, around the capability your model is missing, instead of labeling data that already exists. Failures, corrections, and recoveries stay in, because they are often what a model needs most.
Request a dataset: describe the task, the setting, and what success looks like, and phydata designs the collection around it. YC companies can apply for up to $20,000 in physical AI data credits. You can also write to phydata2@gmail.com.
No. phydata (phydata.tech) is a physical AI training data company. phData is a separate data and analytics consultancy.
Describe the task, the setting, and what success looks like. We design the collection around it and deliver the data in your schema.
