Data ownership
Ownership and usage rights for delivered data are defined in the project agreement before collection begins.
Trust & Security
Your data, handled on your terms
AI data work depends on clear agreements. Data ownership, usage rights, confidentiality and contributor consent are agreed with you before any work begins.
How your project is protected
Confidentiality
Projects can run under NDA. Contributors are required to keep project materials, client information and instructions confidential.
Contributor consent
For recorded data, consent and usage terms are agreed with you during scoping and put in place with contributors before collection begins.
Your environment
We can work inside the platform your team already uses, or propose tooling during scoping.
Security in every engagement
- 01
Share requirements
Tell us your security, privacy and compliance requirements during scoping.
- 02
Agree terms
Ownership and usage rights are defined in the project agreement, with an NDA where needed and consent terms for recorded data.
- 03
Brief contributors
Contributors receive the project's terms, including confidentiality obligations, before they start.
Frequently asked questions
Who owns the data you collect?
Data ownership and usage rights are defined in the project agreement before collection begins.
Can the project run under NDA?
Yes. Projects can run under NDA, and contributors are required to keep project materials and client information confidential.
Do speakers consent to their voice being used for AI?
Consent and usage terms for every recording are agreed with you during scoping and put in place with contributors before collection begins.
More about the platform
- Project WorkflowWritten specification, pilot review, then delivery in regular batches with ongoing QA.
- Contributor NetworkDomain experts, native speakers, generalists and voice talent, matched to each project.
- Quality SystemWritten guidelines, calibration, gold-standard items, sampling and agreement checks.
Have a data project in mind?
Tell us what your model needs. We'll come back with questions, a proposed approach and a pilot plan.