ADCO AI

The physical world has more to teach.

Skilled work carries context that a label alone can miss. ADCO AI helps robotics teams scope physical data collection and curation, connecting recordings of action with the expertise behind it.

For robotics teams: a line illustration representing the work.

Understand the skill.
Then define the data.

Hospitality, cooking, farming, personal services and trades involve tasks learned through practice. Relevant experience helps make their context and sequence understandable.

Collection with a purpose

Define the task, setting, viewpoints and recording requirements around the intended use. Permissions, participant arrangements and appropriate handling are established for the actual project.

Actions made legible

Organize video into useful segments. Describe relevant objects, action sequences and outcomes, with expert context where the task calls for it.

Curation for the downstream team

Agree annotation structure, review criteria and training export formats. Keep limitations and questions visible so the receiving team can assess the material against its own requirements.

Capture the action.
Preserve the context.

Video, task descriptions and expert annotations work together. AV1S helps turn collected material into organized sequences for the receiving team.

AV1S

People who know
the work.

Atasc, the expert network from ADCO AI, brings together professional knowledge and practical skills. Expertise, qualification and availability are confirmed against each engagement; a network profile does not promise project selection.

For enterprise teams, the starting point is a project conversation. For people interested in contributing a skill, Atasc explains the profile and participation path.

Explore contributing through Atasc

What should your system understand?

Describe the physical task, the intended use and the data you need. We can discuss collection, expert context and curation within a defined scope.

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