DatoricCustom data collection
We build the data
that does not exist yet.
Voice, video, computer-use, robotics, and physical-AI data collected to your specification, from consented contributors, with QA and acceptance criteria agreed before collection begins.
Why custom
The most valuable data usually does not exist yet.
Off-the-shelf corpora rarely match a frontier training objective. Datoric's core capability is building the data that does not exist yet, collected to your specification, from consented contributors, with quality reviewed before it reaches you.
Each custom program defines its contributor requirements, provenance record, review criteria, tasks, environments, and labels before collection begins.
How a program runs
Your specification, our collection engine.
- 01
Scope the requirement
We translate your objective into a concrete specification: modalities, task categories, labels, environments, and the acceptance criteria that define done.
- 02
Recruit to spec
We source consented contributors who match the requirement and establish rights at the point of contribution.
- 03
Collect and label
Contributors record to the spec while structured metadata and labels are captured alongside the raw signal.
- 04
QA and pilot
Submissions are reviewed against the agreed criteria, and a pilot lets your team evaluate real material before scaling.
- 05
Deliver and scale
Accepted data is delivered with rights attached, and the program scales against the agreed criteria.
Questions
Custom collection
- What can you collect?
- We run collection across voice, video, computer-use, robotics, and physical-AI modalities. We assess each specification against the contributors, environments, and capture requirements needed for a successful pilot.
- How do we define a program?
- We start from your requirements, including modalities, tasks, labels, environments, and acceptance criteria, then turn them into a specification that contributors and reviewers work against.
- How do we know it will meet our bar?
- Acceptance criteria are agreed before collection begins, and we run a pilot so your team can evaluate real material against those criteria before the program scales.
Continue
More of the record
How it works
From spec to delivery: the end-to-end collection and review workflow.
Data rights & provenance
How consent, licensing, and origin are defined and reviewed.
Quality methodology
Modality-specific checks for datasets and benchmarks.
Security & privacy
Request-based access, privacy handling, and program safeguards.
Licensing
Commercial license scope and the terms buyers review.
About Datoric
Company identity, research group, and contacts.