AI reports for protected databases without exposing personal data to AI
MEYData helps design analytics and report scripts on a synthetic twin of a database. The live database stays in the client protected environment, while AI works only with the schema, generated examples and approved test data.
How MEYData works
MEYData separates AI-assisted report design from execution inside the client protected system.
Register the source
Define the database type, schema, access limits and security rules for the project.
Build a synthetic twin
Create a test dataset that mirrors the real structure without personal or commercially sensitive rows.
Describe the report
Define the business question, fields, filters, quality checks and expected output format.
Check the script
AI helps prepare queries and logic on synthetic data; the team reviews the result before execution.
A clear boundary between AI and live data
AI speeds up analytics design without getting access to client personal data.
The live database is not sent to AI
Personal rows and sensitive information stay in the client protected environment.
Access rules are set in advance
For each source we define permissions, limits, checks and allowed actions.
Results can be reviewed
Scripts, versions and report decisions are stored so the team can check and repeat the result.
Which systems fit the MEYData approach
The model fits tasks where reports must be built on protected data without exposing it to AI services.
PostgreSQL, MySQL and similar databases
We use schema, test datasets and approved queries to prepare analytics.
Reports on business data
We design exports and reports around directories, documents and registers.
Analytics over processes
We help describe data, checks and report scenarios for client-facing and internal systems.
Discuss a MEYData pilot for your database
Tell us which data source and report you need. We will suggest a secure pilot: schema, synthetic twin, report logic check and clear execution boundary.