Pick an industry and compare an original business record with the dataset record an AI developer could license. Every field is marked: excluded, retained, generalized or held for review.
Discover how Datavaro transforms eligible operational information into structured, privacy-reviewed datasets for authorized AI licensing.
Synthetic demonstration. These records are invented examples, not real business or customer data. They show how our preparation process treats typical fields; they do not guarantee anonymization of any particular dataset. Every real dataset version is also checked by a person before it can be licensed, and what is licensed depends on your agreement and permissions.
Everything the business software might hold for this job, and what preparation does with each field.
Stays in your own software. We read only the categories you authorize; secrets are dropped and contact details masked before anything is stored with us.
A separate, prepared copy: only the fields needed to learn from the work itself, with detail such as dates and amounts generalized. Each version gets a fingerprint and provenance record.
Nothing is delivered until the version passes rights review, a human privacy review and quality checks, and you have approved the licence where your permissions require it.
The same steps run on real supplier data. They reduce risk; they are not a promise of anonymity, which is why people review every dataset version.
We read only the data categories and history you select, through the software's own sign-in. You can pause or revoke at any time.
Passwords, keys and tokens are detected and removed before storage. A record that contained one is held for review.
Names, contact details, account numbers and similar fields are dropped. Contact details found inside text are masked and the record is held for review.
Fields that are not needed (free-text notes, internal references) are dropped. Dates become months, durations and amounts are rounded or shown as ranges.
Duplicates and incomplete records are removed automatically. Questionable records are quarantined and only included if a reviewer confirms they are safe.
A dataset version needs rights review, a human privacy review, a passed quality check, valid agreements and your approval where required. If any check fails, nothing is delivered.
Having access to a repository is not permission to license its code. By default we only use task descriptions, file names, change sizes, review comments and test results. Code content is included only where the owner explicitly grants that right in their permissions. Secrets and third-party code without licensing rights are never licensed.
Connected businesses get a private Preview your data page built from their own records by this same process: how many records were assessed, which fields are kept or excluded, why records were set aside, quality indicators and a representative sample. Only your organization can see it. Security & privacy →