Pay for the gap, not the program
Scope exactly the hours or items that fix the failure. When the eval moves, you stop. No retainer, no idle contributor pool on your invoice.
On demand
On-demand data collection for AI.
Brief the gap when you find it, not next quarter. We spin up contributors, capture, QA, and licensed delivery on demand, and stop when the gap is closed. You never have to run a standing program.
- First batch
- Median 48 h
- Minimum
- No standing program
- Reach
- 150+ countries
- License
- Buyer-owned
Definition
What is on-demand data collection?
On-demand data collection is custom AI training data gathered when you need it, against a spec you set, from contributors who are already recruited, briefed, and paid through a standing pipeline. You buy the specific hours or items that close a model gap instead of funding a long program up front.
How it works
Why on demand beats a standing contract.
The pipeline is already warm
Contributors across 150+ countries are screened and paid through the same QA and consent flow every time, so an on-demand brief does not start from zero.
Top up as the model changes
Failure modes shift after every training run. Re-brief a new condition, region, or edge case against the same spec and the same accept criteria.
Same accountability as a full program
On demand does not mean lower standards. Every item clears the signed accept criteria, anonymization, and consent checks before delivery.
At a glance
What you get.
- Brief to spec
- Same week
- Spec to first batch
- a median of 48 hours (deep coverage)
- Thin environments
- three to four weeks to first batch
- Top-ups
- Re-brief against the same spec
- Delivery
- RLDS · LeRobot · WebDataset · HDF5 · JSONL
Every collection runs through the same seven-stage end-to-end custom collection pipeline. End-to-end custom data collection is a managed service that takes an AI data need from problem to owned dataset in a single accountable pipeline.
FAQ
On-demand data collection, answered.
- How is on-demand data collection priced?
- Per validated hour or per accepted item, quoted against the spec before any capture. You pay only for what clears the accept criteria, and rejected items are recaptured at our cost.
- Is there a minimum order?
- No standing program is required. A focused brief, one condition or one missing region, is a normal starting point, and many teams start with a Spec Pilot.
- Can I top up a dataset later?
- Yes. Top-ups run against the original spec and accept criteria, so new data is consistent with what you already hold and slots into the same schema.
Brief the gap. Get data back fast.
Tell us what your model is missing. We will quote reach, timeline, and price against a written spec, with a first validated batch in a median of 48 hours where coverage is deep.