Who is Compex for?
Compex is for organizations that need to use protected data without default raw-data handover. The first users are usually business owners, technical teams, and DPO / legal reviewers working together on a sensitive-data workflow.
Data owners
Banks, hospitals, insurers, and enterprises that hold sensitive data and need to keep control over access, execution, and output review.
AI companies / processors
Teams that need client data to train, analyze, or serve useful AI systems, but cannot receive raw records by default.
DPO / Legal
Reviewers who need policy-controlled scope, role-separated access, audit trails, evidence records, and clear limitations before approval.
What this means
Compex is most useful when the value of a workflow is clear, but data access is blocked by privacy, legal, trust, or operational constraints. It gives the parties a structured way to test a governed path instead of debating a raw-data transfer.
Common starting points
- An AI vendor wants to serve a regulated client without receiving client data.
- A hospital or insurer wants to evaluate a model on protected records.
- An enterprise wants internal teams to run analytics without ad hoc exports.
- A DPO needs evidence before approving a pilot.
Current status
The best-fit engagements are scoped pilots with clear users, datasets, workloads, outputs, and reviewers. Public sandbox materials use synthetic data.
Limitations
Compex is not a generic data warehouse, a blanket compliance product, or a substitute for legal review. It should be evaluated as a governed execution platform within an agreed project scope.
Compare deployment modes
Learn how Compex applies to internal enterprise workflows and cross-organizational collaboration.