Pontus for Web

Pontus — improving AI reliability and data safety

Pontus is an open-source orchestration layer for AI designed to help teams build trustworthy systems while keeping sensitive information private. It intercepts and transforms data before it reaches external services, so organizations can integrate third-party models without exposing confidential content.

How it protects sensitive data

• Pontus applies data masking and tokenization to hide private elements before any external API call.
• The system uses a similarity-based search to detect patterns that look like confidential data, then replaces or tokenizes those spans so they remain protected.
• When documents are needed for model responses, Pontus shares only sanitized versions with outside providers, minimizing leakage risk.

Core capabilities

• Secure retrieval-augmented generation workflows that feed models with scrubbed context rather than raw files.
• Automated prompt cleaning that locates and neutralizes potentially private tokens while preserving the intent and usefulness of the prompt.
• Extensible, open architecture so teams can adapt masking rules, add connectors, or plug in their own similarity detectors.

Target users and use cases

Pontus is built with enterprise privacy requirements in mind: legal, healthcare, finance, and other regulated industries can use it to adopt AI without compromising client data. It’s also appropriate for startups and hobbyists who want a privacy-conscious foundation for experiments and prototypes.

Plans and support

• Enterprise subscriptions provide expanded support, advanced features, and SLA-backed assistance for production deployments.
• A free, open-source edition is available for individual developers and small projects that don’t require commercial support.

Suggested alternatives

• Pivot365.io — a paid commercial solution for teams seeking a managed privacy and orchestration product.
• Other commercial and open frameworks that emphasize privacy-first RAG and prompt sanitation for regulated environments.