DatoricDatoric

Custom data collection

Custom AI training data,
built to your requirements.

Datoric designs custom AI training data programs for complex requirements across voice, video, computer use, robotics, and physical AI. Each program starts with an explicit specification and pilot, then scales against agreed consent, provenance, QA, and acceptance criteria.

See how it works

Why custom

What is a custom AI training data program?

A custom AI training data program is a build-to-spec collection designed around a model's actual tasks, environments, signals, labels, and acceptance criteria. Datoric runs these programs for requirements that off-the-shelf corpora do not cover.

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.

  1. 01

    Scope the requirement

    We translate your objective into a concrete specification: modalities, task categories, labels, environments, and the acceptance criteria that define done.

  2. 02

    Recruit to spec

    We source consented contributors who match the requirement and establish rights at the point of contribution.

  3. 03

    Collect and label

    Contributors record to the spec while structured metadata and labels are captured alongside the raw signal.

  4. 04

    QA and pilot

    Submissions are reviewed against the agreed criteria, and a pilot lets your team evaluate real material before scaling.

  5. 05

    Deliver and scale

    Accepted data is delivered with rights attached, and the program scales against the agreed criteria.

Questions

Custom collection

What is a custom AI training data program?
A custom AI training data program turns a model requirement into a collection specification covering contributors, tasks, environments, signals, labels, consent, provenance, quality review, and acceptance criteria. Datoric validates the specification with a pilot before scaling collection.
What complex AI requirements can Datoric support?
Datoric scopes custom programs across voice, video, computer-use, robotics, and physical-AI modalities. Each request is assessed against the contributors, environments, capture systems, labels, and review criteria needed for a viable 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.
How does a custom program move from pilot to production?
The pilot tests the specification, capture workflow, labels, and acceptance criteria on real material. Collection scales only after the review criteria and delivery requirements are agreed, with accepted data delivered alongside the defined rights and quality records.