Trust & control
Your data. Your boundaries. Your decision.
Exploring a data partnership should never mean granting unrestricted access to company systems or sensitive information. Each partnership is designed around agreed permissions, protections and use restrictions.
Principles
Six principles behind every partnership.
You define the scope
Your company determines which sources, datasets or workflows may be considered for a partnership. Nothing is assumed to be in scope.
Sensitive information is addressed
Personal, confidential or commercially sensitive information is identified early and excluded, anonymised, pseudonymised or aggregated as agreed.
Use is documented
Permitted applications, recipients, retention periods and restrictions are contractually defined before anything is released.
Ownership is protected
Your company retains its existing ownership and other rights to the underlying information unless explicitly agreed otherwise.
Review and approval
Defined review and approval moments sit in the process before prepared assets are released to any buyer.
Controlled access
Secure, restricted and auditable environments are used where the sensitivity of the opportunity requires them.
Restrictions
What a partnership can be limited by.
Restrictions are commercial instruments. They can be as narrow as the opportunity requires — though we do not claim every competitive or substitution risk can be eliminated.
- Specific use cases and prohibited use cases
- Approved buyers, industries and geographies
- Time periods and data vintages
- Named products, services or models
- Competitive-use restrictions
- Retention limits and deletion requirements
Find out whether your company is sitting on a valuable AI data asset.
Start with a confidential assessment. Tell us what kind of information your organisation holds — without uploading the data itself.
No obligationNo immediate data transferConfidential initial review