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Discuss your data

Real tasks. Real actions. Useful technical context

Some of the most informative technical datasets pair an instruction with the steps taken to complete it. We are exploring collections of computer-use workflows, robot demonstrations and CAD models linked to descriptions or engineering notes.

Discuss your data See what data may qualify
  • Instruction
  • Actions
  • Model
  • Result
  • STEP

What is AI data licensing?

AI developers use instruction-and-action examples to train and evaluate systems that operate software, control robots or interpret technical designs.

Data licensing sets terms for using specified recordings, trajectories, models and related descriptions.

How the process works
  1. Existing records
  2. Defined licensing agreement
  3. AI development

The records behind the work

Here are examples of the types of collections we are interested in exploring.

  • Computer-Use Workflows

    Task instructions paired with permitted screen states, clicks, keystrokes, application steps and final outcomes.

    Task / Screen state / Action log

  • Robot Demonstrations

    Task descriptions linked to camera views, actions, sensor readings, trajectories and success labels.

    Video / Actions / Trajectory

  • CAD Models with Text

    Mechanical models paired with descriptions, specifications, dimensions or engineer notes, including STEP data.

    STEP / STP / Native CAD / TXT

  • Task Outcomes & Evaluations

    Linked before/after states, completion labels, constraint checks and operator notes.

    Result / Validation / Notes

Discuss your data

Why the pairing matters

A screen recording, robot trajectory or CAD model shows what happened or what exists. A linked instruction explains the intended task. Together with outcomes, these records can support AI systems learning how to act or assess their own results.

  1. Written instruction
  2. Steps or trajectory
  3. Resulting output

  • Follow software tasks step by step

  • Relate robot actions to instructions

  • Interpret geometry from language

  • Check task completion against intent

An instruction becomes useful when the result is connected

The most informative records preserve the requested task, the relevant starting state, the actions or editable model, and the final result. Different technical domains should remain clearly separated even when the visual structure is shared.

  1. 1Task description
  2. 2Starting state / geometry
  3. 3Actions / model operations
  4. 4Verified result
Illustrative example

Start with a description, not your files

You do not need to upload confidential materials to begin a conversation.

  1. 1 Describe

    Tell us what collections, formats and systems your organization has, and approximately how much historical material exists.

  2. 2 Assess

    Argo Reach reviews potential relevance, collection structure, scale and buyer fit.

  3. 3 Explore

    If there is a potential match, discuss permitted use, access, preparation and commercial terms.

A bridge between specialized data and AI development

Your team works with complex technical systems. Argo Reach helps explore whether eligible task and design records may match AI development requirements.

  • Instruction-data matching
  • Structured action and model records
  • Outcome-based qualification
  • Commercial coordination
Discuss your data

Have technical tasks paired with instructions and results?

Describe the workflow recordings, robot demonstrations or text-linked CAD models you maintain. No raw videos or CAD files are needed initially.

Discuss your data

Any licensing requires appropriate rights and agreed permitted uses.

Discuss your data

Start with a description of your records. No files are needed for an initial conversation.

What types of data do you have? *

Select all that apply.

Optional
Optional

Please do not include confidential files or personal information at this stage.