Omnifact
Omnifact GmbH · Chatbot
Omnifact is a GDPR compliant AI platform for regulated teams. It combines frontier models from OpenAI, Anthropic, Google and Mistral with a Privacy Filter and internal knowledge Spaces.

About Omnifact
What Is Omnifact
Omnifact is an enterprise AI platform built in Germany for organizations that can't hand sensitive data to a consumer chatbot. Staff get one AI assistant for teams: chat, document analysis, image generation and answers pulled from internal files. The company markets it as AI for the public sector and other regulated industries, and the feature set backs that claim. IT gets a control layer that decides which models run, which regions host them, and who can reach which knowledge base.
The product exists because most enterprise AI rollouts stall on the same three problems. Data protection teams block tools that ship prompts to unknown servers, staff keep using shadow AI anyway, and the knowledge stays locked in SharePoint, Confluence and DMS systems nobody wants to search by hand. Omnifact answers all three in one place, with pseudonymization applied before a prompt leaves the building.
The catch is scope. Omnifact is sold as a per-seat business platform, so a solo user or a five-person startup pays for governance features they may never use. Pricing is quoted in euros with annual billing, and the team plan caps out at 50 users. Larger deployments go through sales.
Getting Started
- Start a 10-day free trial at chat.omnifact.ai with a work email. No credit card and no sales call.
- Invite your team and set roles. Admins choose which models each group can use and which hosting region applies.
- Create a Space and upload the documents your team asks about most, such as policies, handbooks or product specs.
- Turn on the Privacy Filter and check what it catches on a test prompt with a client name or an internal ID.
- Connect the systems you already use, from SharePoint to Confluence, then brief staff on the shared Spaces.
Product Information
A quick look at Omnifact's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- IT and security leads at regulated organizations
- Data protection officers
- Caseworkers and advisors in public administration
Tasks
- Answering policy questions with citations
- Reviewing contracts and client files
- Drafting routine correspondence
- Summarizing long internal documents
Scenarios
- Replacing shadow AI after a failed audit
- Rolling out AI to a 200-person authority
- Keeping client data inside the EU
Key features
Multi-Model Chat With a Selector
Every chat lets you pick the model, and the roster covers OpenAI, Anthropic, Google and Mistral. Base models handle everyday drafting without touching your credit pool, while premium models draw on a shared monthly budget. Admins decide which providers each group may use, which kills the usual single-vendor lock-in.
Privacy Filter for Sensitive Prompts
The Privacy Filter detects names, patient records, client identifiers and other personal data, then replaces them with placeholders before anything reaches an external provider. Authorized users can reveal the masked values with a click. This is the feature that makes Omnifact usable for banks, hospitals and municipal offices, because the model never sees the raw identifier.
Spaces as an AI Knowledge Base
A Space is a scoped collection of documents plus instructions, and it works as an AI knowledge base for one team or one topic. Answers come back with references to the underlying pages, so a wrong answer is easy to trace and correct. Pro teams can index up to 25,000 pages across all Spaces, and permissions decide who sees which Space.
Admin Controls and Audit Logging
Admins manage models, hosting regions, roles and integrations from one console. Usage analytics show which teams actually adopt the tool, and audit logs record what happened when a data protection review asks. Role-based access means a department's documents stay inside that department by default.
Integrations With the Existing Stack
Omnifact ships 34 ready-made integrations, including SharePoint, Confluence, Atlassian, HubSpot and GitLab, plus custom connectors for systems you host yourself. Content flows into Chat and Spaces through connectors admins approve centrally. Teams spend less time copying files and more time asking questions.
EU Hosting, On-Premises and Air-Gapped Options
The default deployment runs in a German data center under GDPR rules and ISO 27001 certification, with contractual zero data retention. Enterprise customers can move to on-premises hosting, bring their own API keys, or run a self-hosted model. High-security environments can go air-gapped, which keeps every prompt on your own hardware.
Pros and cons
Pros
- Pseudonymization happens before the prompt leaves your network, which is a stronger guarantee than a policy promise.
- Model choice across four providers with no lock-in, and admins can swap models per group without retraining staff.
- German hosting and an on-premises path cover residency rules that rule out most US-based AI chat tools.
- Cited answers from internal documents cut the time spent hunting through handbooks and old tickets.
- The 10-day trial needs no credit card, so a pilot can start without procurement.
Cons
- No free plan. After the trial you pay €25 per user per month on annual billing, which is steep for small teams.
- The Pro plan stops at 50 users, so growing companies move to a custom Enterprise contract with sales involvement.
- The premium model budget is shared across the whole team, and heavy users can drain it early in the month.
- Setup assumes an IT owner. Connecting systems and tuning the Privacy Filter rules takes real admin time before staff see value.
Frequently asked questions
No. There's a 10-day free trial for teams of up to 50 users, and paid plans start at €25 per user per month with annual billing. The trial requires no credit card.
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