ADCO AI

Data with context.
Prepared with purpose.

Authorized collection, preparation and multimodal annotation, shaped around the way your system will use the data.

Data collection & annotation: a line illustration representing the work.

Better data starts with clear intent.

Useful data is more than a volume of examples. It needs a defined purpose, appropriate permission, a consistent structure and instructions that people can apply. ADCO scopes human work across collection, preparation and annotation around those requirements.

  1. Collect with a clear purpose

    Define the intended use, permitted sources and provenance requirements before collection begins. Participant-based work needs project-specific information and appropriate authority.

  2. Prepare information for use

    Organize, clean, deduplicate and classify inputs against an agreed schema. Flag missing context, unsuitable material and ambiguous records for review.

  3. Annotate across formats

    Apply project-specific labels to text, images, audio or video. Confirm language, domain expertise, tooling and qualification needs for the engagement.

Typical output types

Useful inputs.
A documented basis.

  • Structured, labeled data in an agreed format
  • Annotation guidance and taxonomy feedback
  • Source and provenance records where required
  • Documented exceptions and quality findings

The scope comes first.

Collection permissions, permitted data uses, access and transfer arrangements are established for the engagement. Review coverage and acceptance criteria depend on the project; personal information is not available for unrelated datasets or independent model training.

Choose where responsibility sits.

The capability defines the work. The engagement model defines who directs it and how responsibilities are shared.

Managed services

ADCO organizes the team, instructions, coordination and quality review for defined deliverables. Scope, acceptance criteria and responsibilities are agreed before work begins.

Explore managed services

Staff augmentation

Dedicated professionals work within your team’s priorities and workflow. Role requirements, qualifications, access and review responsibilities are confirmed for the engagement.

Explore staff augmentation

Start with the data you need.

Describe the format, intended use and work you need people to perform. We’ll discuss scope and the appropriate working model.

Discuss a project

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