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
Your competitive edge
Your expertise has value. So does your competitive edge.
The goal is to help AI better support companies in performing their tasks — not to hand over your IP or competitive know-how. That question belongs at the start of the conversation.
Choose what you license
Only selected workflows or records. Proprietary methods, sensitive information and future plans can stay inside your business.
Look beyond removing names
We assess both privacy and the know-how the data would teach an AI system.
More than a collection of tasks
AI learning a workflow does not gain your customer relationships, reputation or responsibility for results.
Agree what the buyer can do
Training, evaluation and access are defined — including who receives access and what is restricted.
“Are we helping AI replace us?”
Nobody can honestly guarantee that contributing data will never create competitive pressure. The real decision is whether a specific dataset, under specific terms, offers enough value for your company — and we help you examine that before you commit.
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