Omnifact

A closer look at Omnifact

Omnifact provides generative AI for whole teams in public administration, banking and financial services, healthcare and social services, and energy and utilities: Chat for the whole team, Spaces as personalized assistants on internal data, and an AI Gateway as one OpenAI-compatible endpoint for every model, with a Privacy Filter that pseudonymizes sensitive data before prompts reach external models.

Editorial guidance based on published documentation. The workflow below is a suggested starting point, not a measured product result.

When to choose Omnifact

• Public authorities, banks, healthcare, and utilities that need frontier models under IT control with GDPR-compliant European hosting.
• Teams that want one controlled platform replacing shadow AI and scattered tools, with Spaces grounded in internal documents.

When to choose something else

• Users who need a standing free plan, since the pricing page offers a 10-day free trial for teams up to 50 users rather than a free plan in the text read.
• Users who need an ungoverned consumer chatbot, since Omnifact is built around admin control, model and region allow-lists, and privacy filtering.

A practical starting workflow

1. Give teams Chat access under admin control, choosing allowed models and hosting regions by group.
2. Ground answers in internal documents with Spaces, connecting SharePoint, Confluence, CRM, and DMS with enterprise SSO and role-based permissions.
3. Let the Privacy Filter pseudonymize client names, patient records, and internal identifiers before any prompt reaches an external model.

Check before committing

• Paid amounts are stated in EUR on the pricing page (Pro €25 per user per month paid annually, with 5 € usage), but no paid-tier charge fact is recorded under this batch's free-facts-only contract pattern.
• Review is limited to the official homepage and pricing page text read on 2026-11-04; no product run, no account, no purchase.

Common questions

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• OdysseyGPT — Bid and proposal engineers who must show where each tender answer came from before the offer goes out.; Manufacturers handling multi-document spec packages where an unanswered requirement can return as a re-test, non-conformance, or back-charge.
• Omnisearch — Teams with large video, audio, and document libraries that need to find any scene, phrase, or object fast.; Media, education, and public-sector archives where keyword search cannot surface the right frame or moment.