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Data partnerships

Your data could help build the next generation of AI.

Explore a data partnership built around rights, provenance, and clearly agreed permitted use. We work with organizations that own or control valuable real-world data, assessing opportunities to acquire or license it for AI training, evaluation, and research-related applications. We are selective: rights, provenance and quality come before any commercial conversation.

Areas of interest

What we are interested in.

These are areas where we would like to hear from you. They are not a list of what we will buy, and being in one of them does not mean an opportunity will proceed.

  • Software engineering history

    Records of how real software work was done: reviews, tickets, change history.

  • Technical documentation

    Specialist documentation that captures how systems are meant to behave.

  • Domain-specific records

    Professional work product from fields where expert judgement matters.

  • Structured operational data

    Event and process data that can be reconstructed into multi-step tasks.

  • Specialist datasets

    Curated collections held by organizations with the authority to license them.

What makes data valuable

How we weigh an opportunity.

Seven things decide whether a dataset is worth taking further. None is sufficient alone.

  1. Relevance

    Does it reflect tasks AI systems are actually asked to do?

  2. Uniqueness

    Is it hard to find elsewhere, or only available through you?

  3. Provenance

    Can its origin and history be traced and documented?

  4. Rights clarity

    Is ownership clear, and is authority to license established?

  5. Quality

    Is it accurate, consistent and complete enough to be useful?

  6. Coverage

    Does it span enough variety of cases to teach or measure something?

  7. Permitted downstream use

    Can it lawfully be used for AI training or evaluation as intended?

How it works

From inquiry to approved transfer.

Rights and provenance are assessed before any commercial discussion, and nothing moves until permitted use is defined.

  1. 01 · AssessNo commercial discussion yet
    1. Data opportunity

      You describe what the data is and who holds it.

    2. Initial suitability review

      We check relevance to real AI training or evaluation tasks.

    3. Ownership and rights assessment

      Who owns it, and who is authorized to license it.

    4. Provenance and quality assessment

      Where it came from, how complete it is, how consistent.

  2. 02 · AgreeOnly if the assessment supports it
    1. Commercial discussion

      Whether, and on what basis, to proceed.

    2. Contract and permitted-use definition

      What may be done with the data, and what may not.

  3. 03 · ProcessOnly after agreement
    1. Approved transfer

      Data moves by an agreed, secured route. Never by web form.

    2. Curation and validation

      Domain experts review and validate what is kept.

This is the process a submission would follow, not the status of any dataset. Submitting does not guarantee a commercial offer or acquisition.

Possible structures

Depending on suitability and agreement.

Which of these, if any, applies depends on the data and on what both sides agree. We do not publish terms.

  • Acquisition

    Where a dataset is suitable and ownership is clear, Synthium may discuss acquiring it.

  • Licensing

    Where you wish to retain ownership, a licence may define what Synthium may do with it.

  • A scoped data partnership

    Where the opportunity is ongoing or bounded to a specific need, a narrower arrangement may fit.

Discuss your data

Tell us what you hold and what you are authorized to do with it. We'll assess it and reply by email. This is not a public upload portal.

Describe the data. Don't send it. This form collects a description only. Please do not paste samples, personal records, credentials or confidential files into any field. If we proceed, we'll agree a secure transfer route.

In words only. No samples, no personal records, no credentials.

Rights and sensitivity

Personal, confidential, regulated and third-party material needs additional review. Saying so does not rule you out.

Human verification

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We use these details only to assess and reply to your inquiry. See our privacy policy.

Questions

Before you submit.

Does submitting guarantee that Synthium will acquire or license my data?
No. Submitting starts a review. Most opportunities will not proceed, and a reply is not an offer.
Should I send a sample or the data itself?
No. Please describe it in words. If we proceed, we will agree a secure transfer route. Do not send data, samples, credentials or personal records through the form or by email.
What if my data includes personal or confidential information?
Say so in the form. Personal, confidential, regulated and third-party material needs additional review, and may not be suitable. De-identification alone does not make data safe or reusable.
What if I am not sure whether I have the right to license it?
Choose “We are not sure yet”. We will treat that as a question for the rights assessment and will not assume the answer.
Do you publish what you pay or how many datasets you hold?
No. We do not publish prices, volumes, dataset counts or partner names, and we do not describe terms before an agreement exists.
How long does a review take?
It depends on the data and the rights position. We will tell you what to expect when we reply.

Looking for expert evaluation or training data instead? Start a pilot.