xAGI LABS / DATA PROGRAMS
Data partnerships for AI training
Explore a licensing conversation for data you own or are authorized to represent. Start with source, coverage and permission evidence.
Describe the asset before sharing it
Publishers, research groups, specialist businesses and collection partners may have distinctive data that can help an AI team address a specific gap. Begin with a non-confidential description of its provenance, modality, languages, approximate scale, update frequency and known limitations. An introductory conversation does not require uploading a corpus or connecting a private repository.
Establish who can license what
Identify the organization that controls the asset, contributors and third-party materials, the original collection purpose, and the evidence available for permissions review. Explain any restrictions on model training, evaluation, redistribution, retention or derivative use. Personal information and confidential business records require separate handling decisions. A public URL or possession of a file does not establish licensing authority.
Review fit, then define a pilot
A suitable next step may be a controlled sample review or a small pilot with agreed acceptance criteria. Before transfer, discuss access controls, redaction needs, permitted-use scope, delivery format and what happens if the data fails the checks. Availability, compensation and contract terms depend on the specific source and demand; this page does not promise a buyer, payout or market valuation.
Not sure what to prepare? Use the readiness checklist →
Discuss a data partnership
Start with a description. Availability, rights and commercial terms are reviewed individually.
Do not include personal records, confidential data, credentials or raw files. Text stays in this browser until you download it or choose to send an email from your mail app.
Open email draft ↗Nothing is submitted automatically. Email drafts and downloads are not completed submissions.
Start with a useful conversation.
Tell us the model task or source you want to explore. We establish feasibility, quality and rights before discussing delivery.
Book a scoping call ↗