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Discuss your data

The material behind learning may have new value

Educational organizations produce courses, practice questions, exams and detailed explanations. Collections that connect a problem to its worked solution can help AI developers study how expert knowledge is taught and assessed.

Discuss your data See what data may qualify
  • Lesson
  • Question
  • Solution
  • Rubric

What is AI data licensing?

AI developers use educational examples to improve and evaluate subject knowledge, problem solving and explanation quality.

Data licensing is a defined agreement allowing specified instructional materials to be used for agreed AI development purposes under commercial terms.

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

The materials behind the learning

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

  • Courseware & Lessons

    Lecture notes, instructor-authored units, syllabi, structured modules and teaching slides.

    PPTX / PDF / DOCX / LMS export

  • Problem Sets

    Homework questions, practice sets, exercises and answer prompts organized by topic.

    DOCX / PDF / LaTeX

  • Worked Solutions

    Step-by-step explanations, derivations, solution manuals and accepted answers.

    LaTeX / DOCX / PDF

  • Exams & Rubrics

    Institution-approved past assessments, marking guides, model answers and grading criteria.

    Exam / Answer key / Rubric

Discuss your data

Why AI developers need more than answer keys

A final answer reveals very little about how to solve a problem. Materials that include the question, intermediate reasoning, final solution and scoring criteria can support AI systems that explain concepts and evaluate answers.

  1. Question
  2. Numbered solution steps
  3. Boxed answer, rubric marker

  • Practice subject-specific reasoning

  • Explain multi-step solutions

  • Match questions to learning goals

  • Evaluate answers against rubrics

A question is stronger with its solution

Course materials become richer when the instruction, problem, worked solution and grading guidance remain connected. This structure helps distinguish an example answer from an explanation of how it was reached.

  1. 1Lesson objective
  2. 2Problem statement
  3. 3Worked solution
  4. 4Scoring rubric
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 organization builds educational content. Argo Reach helps explore whether eligible courseware and assessment collections may fit specialized AI development requirements.

  • Subject-specific qualification
  • Problem-to-solution structure
  • Course archive evaluation
  • Commercial coordination
Discuss your data

Have a library of courses, problems and solutions?

Tell us which subjects you cover and what instructional materials you control. Do not submit exams or other restricted files at the inquiry stage.

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.