Services · Custom data collection
Custom robotics data collection
Custom robotics data collection is teleoperation or egocentric data captured to your specification — the tasks, robots, scenes and volume you need — rather than bought off the shelf.
PrismaX scopes each order against its own fleet and the VLA Foundry operator network, starts collecting within days, and delivers QA-scored episodes.
- 5,000 hrs
- Collection capacity / month
- 33
- YAM dual-arm rigs in our own fleet
What you can specify
Your tasks, your robots, your scenes.
- Tasks. The tasks your model needs to learn.
- Robots. The embodiment you train on. The catalog covers RLM 63, YAM, Piper, TOK2; Enterprise supports 12+ robot arm types.
- Scenes. The scenes you need. The catalog spans home, industrial, kitchen, lab and research, logistics, office.
- Volume. Up to 5,000 hrs of collection a month.
Process
Request → Capacity → Delivery
- 01
Request
Tell us the tasks, robots and scenes you need, and how much of it. - 02
Capacity
We scope the order against our own fleet and the VLA Foundry operator network, quote it, and start collecting within days. - 03
Delivery
Episodes are reviewed against the Standards for Data, QA-scored, and delivered by browser download, API or JSON export.
Our capabilities
Built to collect data that trains.
33 YAM dual-arm rigs
VLA Foundry operators
Real work sites
Human validators
Standardized rigs
We train on what we collect
Pricing and timeline
Priced below doing it yourself.
| Pricing model | Per agreed contract |
|---|---|
| Benchmark | Priced against the cost of collecting it yourself |
| Start | Within days of scoping |
| Capacity | Up to 5,000 hrs / month |
| Delivery | Browser download, API, JSON export |
| Minimum order | TBD |
| Time to first delivery | TBD |
What you get
Episodes like these
Two robot arms arrange flowers in a vase, seen from the overhead and wrist cameras at the same time.
Flower-arranging episodes from three cameras, each labeled training-grade or rejected after review.
Related reading
All news
Perspective
Standards for Data
The first arc of the PrismaX Standards for Data: repeatable guidelines for collecting pretraining-grade robotics data, and the reference our validators use to apply them.

Announcement
Introducing PrismaX Robotics Data
Usable, diverse, proven demonstrations for the teams building physical AI. Now in limited release.

Deep Dive
openpi / π0.5 Fine-Tuning: How-To and Tips
Ablations from a π0.5 fine-tune on YAM pick-and-place data: training scheme, lighting, inference bugs, camera placement and field of view, and backgrounds.
FAQ
Frequently asked questions
What is custom robotics data collection?
It is robot training data captured to your specification — the tasks, robots and scenes you need, in the volume you need — instead of bought off the shelf. PrismaX collects teleoperation data on its own fleet and through the VLA Foundry operator network, and egocentric data at real work sites.
How fast can collection start?
Collection starts within days of scoping. Off-the-shelf datasets from the catalog can ship the same day if they already cover what you need.
How is teleoperation data collection priced?
Custom collection is priced per agreed contract, against what it would cost you to collect the data yourself. Capacity runs up to 5,000 hours of collection a month. Contact sales for a quote.
Can you collect on the robot we use?
Tell us the embodiment you train on. The catalog covers YAM, Piper, RLM 63 and TOK2 arms and Enterprise supports 12+ robot arm types; for anything else, describe the embodiment and we scope production around it with you.
How do you make sure the data is good?
Automated checks catch the obvious failures. Then human validators review each demonstration against the Standards for Data: pass/fail criteria such as full overhead view, clean lighting and a task that matches the prompt, plus a sliding-scale score for the quality of the demonstration itself.
Should I buy from the catalog or order custom collection?
Start with the catalog if its tasks, scenes and robot arms cover your training objective; Discover and Researcher give self-serve access. Order custom collection when you need a missing task, an unfamiliar environment or a specific embodiment.
Next step
Tell us what your model needs to learn.
Share the tasks, robots and scenes. We'll come back with scope, capacity and a quote.