Who it is for
- Companies handling documents, internal data, or sensitive information.
- Teams that need to align AI usage with LGPD, governance, and internal policies.
- Professionals who want to separate personal AI usage from corporate usage.
Product
Security and privacy
Enterprise AI requires control over data, access, purpose, logs, and good practices. Apeirum treats privacy as part of the product.
Problems it solves
- Use of generic tools without clarity on purpose, access, or data organization.
- Difficulty controlling uploaded documents, history, and context used in answers.
- Risk of promising absolute security when the right approach is controls and review.
Use examples
- Work with contracts without mixing files from different contexts.
- Separate library and history by account or project.
- Use AI with internal documents under stronger access control.
- Explain usage policies before expanding to a team.
Apeirum
How Apeirum helps
Apeirum combines authentication, account separation, private library, and product controls to reduce improper exposure in work flows.
Architecture oriented around logical isolation by user and account.
Use with HTTPS, authentication, and application access controls.
Document handling tied to service purpose and LGPD-minded practices.
Clear messages about human review and the limits of AI answers.
Security and privacy
Enterprise AI requires control over data, access, purpose, logs, and good practices. Apeirum treats privacy as part of the product.