What is Compex?

Compex is a governed execution layer for protected data workflows. It enables organizations to Train, Analyze, and Serve on sensitive data under policy, approval, audit, and evidence controls without default raw-data handover.

The short version

Many AI and data projects stall because the data cannot be copied, exported, or shared freely. Compex creates a governed path where approved work can run against protected data while the data owner keeps control over scope, users, outputs, and evidence records.

Compex is built around three workflow families:

• Train: run governed model training on protected data.
• Analyze: run governed queries, scoring, and computation.
• Serve: deploy models, APIs, or apps for approved users under policy.

What this means

For business readers, Compex is a way to evaluate sensitive-data use cases without turning every deal into an unrestricted data-sharing negotiation. The goal is to replace vague assurances with scoped execution, approvals, and evidence records.

Current status

Compex is evaluation-stage and pilot-ready. The current product is intended for sandbox exploration and scoped pilots. It is designed for auditability and certification-readiness, but it is not independently certified.

Limitations

Compex does not by itself make a project legally compliant, and it does not provide guaranteed legal protection. Each pilot still needs a defined scope, data-processing terms, internal review, and an agreed approval model.