GDPR Compliance
Security & compliance at the heart of our operations
We apply strict practices to ensure the protection of personal data
Client benefit: your data is processed in compliance with international regulations, reducing your legal and reputational risks.
Regulated data collection and processing
Ongoing team awareness of confidentiality issues
Access limited to authorised people only
Secure onboarding and offboarding processes
Data traceability
Strict access management processes
We rigorously control access to tools, platforms and data:
- Role-based access allocation (principle of least privilege)
- Immediate activation and deactivation of access (onboarding/offboarding)
- Connection monitoring and logging
- Use of secure environments
Client benefit: complete control of access to prevent any leak or unauthorised use.
Commitment to responsible AI
An ethical, rigorous approach serving your models
We believe that the quality of an artificial intelligence system rests as much on technical performance as on the ethics of the data that feeds it.
That is why we build strong principles ofresponsible AI into all our annotation, moderation and data management processes.
Transparency and traceability
Every decision made about a piece of data can be explained and traced:
- Clear documentation of annotation guidelines
- History of changes and validations
- Monitoring of annotator performance
- Audit available
Objective: guarantee the understanding and reproducibility of results.
Managing sensitive content
Particular attention is paid to sensitive and high-risk content:
- Specific handling protocols
- Escalation to trained supervisors
- Limiting prolonged exposure of agents
- Task rotation to protect teams
Objective: protect both end users and staff.
Respect for data confidentiality
We handle data to a high standard:
- Restricted access to sensitive data
- Secure environments
- Anonymisation where necessary
- Ongoing confidentiality training
Objective: protect the data used to train or improve models.
Human responsibility in decisions
We maintain human oversight in critical processes:
- Human validation on complex cases
- Arbitration in case of ambiguity
- Refusal of full automation on sensitive decisions
Objective: avoid the excesses of uncontrolled automation.
Well-being of teams exposed to content
Ethics also concerns those who work on the data:
- Awareness of psychological risks
- Rotation on sensitive tasks
- Reinforced managerial support
- A safe and respectful working environment
Objective: guarantee sustainable performance without compromising the health of our teams.
Continuous improvement & regulatory alignment
We continuously evolve our practices:
- Guidelines updated according to uses and regulations
- Integration of international responsible AI standards
- Feedback from field teams
- Collaboration with clients on ethical issues
Objective: stay aligned with technological, legal and societal requirements.
