Trust & Security
Security built into every stage of delivery.
Your data, IP, expert access, and project workflows are handled through controlled, auditable processes designed for enterprise AI work.
How we protect your work.
A clear security model across access, confidentiality, storage, retention, and expert participation.
NDA-first engagement model
Every engagement begins with defined confidentiality obligations covering project data, workflows, and model details.
Role-based access control
Contributors, reviewers, and project leads receive only the data and tools required for their assigned role.
Data handling & retention
Project-specific schedules define how information is retained, returned, or removed at the end of an engagement.
Secure transfer & storage
Project information moves through approved channels and remains within controlled working environments.
Background-verified expert network
Contributors are identity-verified, credential-checked where relevant, and approved before project access is granted.
Compliance & certification support
Relevant documentation and project-specific control details can be reviewed with client security teams on request.
Controls that follow the project lifecycle.
- 1ScopeNDA + data requirements
- 2Access SetupRole-scoped permissions
- 3ProductionControlled workspace
- 4ReviewAudit trails
- 5DeliverySecure transfer
- 6ClosureAccess revocation + retention policy
Experts are part of the control model.
Contributors are verified, scoped to project-specific access, and bound by confidentiality requirements before they begin work.
- Identity / credential verification
- Project-specific access
- Confidentiality obligations
Have specific security or compliance requirements?
We can provide relevant documentation, answer security questionnaires, and review project-specific controls with your team.
Discuss Security RequirementsBring your security requirements into the project scope from day one.
We'll align access, confidentiality, retention, and delivery controls before work begins.