Data Rights & Consent
Collection rights, permitted use and participant consent are documented where applicable.
Quality & Compliance
Trust is engineered into the data program.
Physical AI teams need to understand where data came from, how it may be used, and whether quality can be reproduced. Those questions are addressed before collection begins.
Six controls that support training-ready delivery.
Privacy by Design
Programs are designed around applicable privacy requirements, data minimization and defined capture boundaries.
Traceability
Project records connect delivered data to its source, protocol, collection context and review path.
Quality Assurance
Specifications, validation, rejection and rework procedures are defined before execution.
Secure Data Handling
Storage, transfer and access controls are selected for the project's sensitivity and delivery requirements.
Supplier Qualification
Collection partners are assessed against capability, rights, privacy, documentation and operational requirements before assignment.
Controls are defined for the actual project.
Applicable legal, contractual, security and customer requirements vary by geography, environment and use case. PandectAI defines the required controls in the project scope and does not imply certifications that have not been independently verified.