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Omnifact

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About

Omnifact is a centralized AI platform designed for organizations operating within highly regulated environments, such as banking, healthcare, and public administration. It serves as a secure gateway for teams to access various large language models from providers like OpenAI, Anthropic, and Google, while ensuring all operations remain compliant with European GDPR standards. By providing a managed interface for these tools, the platform helps enterprises eliminate the risks associated with shadow IT and ensures that AI usage is auditable and controlled. The platform's technical architecture is built around data sovereignty and security. A primary component is the proprietary Privacy Filter, which scans and masks sensitive information—such as personal identifiers, financial data, or internal codes—at the prompt level before it ever reaches an external AI provider. Organizations can deploy Omnifact in several ways, including through a managed EU cloud hosted in Germany or as a full on-premise, air-gapped installation for environments with the highest security requirements. The system is divided into two main functional areas: Chat, for general AI interaction, and Spaces, which allow for the creation of custom AI assistants trained on internal document repositories. This tool is specifically intended for IT leadership, data protection officers, and compliance teams who need to provide AI capabilities to their workforce without compromising data privacy. Different departments can utilize specialized Spaces to streamline their workflows; for example, a legal team might build a space to search internal policies, while a support team could use one to extract insights from technical manuals. The platform supports enterprise features such as Single Sign-On (SSO), role-based access control, and comprehensive interaction logging, making it a robust choice for large-scale organizational deployment. What distinguishes Omnifact from generic AI frontends is its focus on integration and flexibility. Unlike tools that lock users into a single model, Omnifact allows for the dynamic selection of different models based on the specific task requirements. It also provides integration possibilities with existing enterprise systems like CRM and DMS via REST APIs. Furthermore, the platform includes specialized onboarding and training through the Omnifact Academy, ensuring that employees are properly enabled to use AI effectively and safely within the corporate framework.

Pros & Cons

Proprietary Privacy Filter™ masks sensitive data before it reaches external AI providers.

Offers flexible hosting options including on-premise, air-gapped, or EU cloud deployments.

Prevents vendor lock-in by providing access to multiple LLM providers in one interface.

Enables teams to build custom knowledge-based assistants using internal documentation.

Includes dedicated onboarding and specialized training through the Omnifact Academy.

The Pro plan limits the internal knowledge base to 5,000 pages across the team.

Usage of top-tier AI models is restricted by a 5€ monthly credit pool on the entry-level plan.

Essential security features like SSO and audit logs are only available in the Enterprise tier.

API access for integrating custom Spaces into external apps requires an Enterprise subscription.

Use Cases

Financial analysts can automate document classification while maintaining full data sovereignty and GDPR compliance.

IT administrators can consolidate fragmented AI usage into a single auditable platform with centralized billing.

HR departments can build dedicated Spaces that act as internal knowledge hubs for answering employee inquiries.

Public administration offices can deploy AI in high-security, air-gapped environments to process sensitive citizen data.

Legal teams can use AI assistants to search and extract insights from complex internal policy documentation safely.

Platform
Web
Task
knowledge management

Features

on-premise deployment

enterprise sso

custom knowledge bases

web browsing agent

eu gdpr-compliant hosting

omnifact spaces

multi-llm selector

privacy filter™

FAQs

How does the Privacy Filter™ work?

The filter identifies sensitive information like names, IDs, and personal identifiers within prompts and masks them automatically. This ensures no sensitive data is transmitted to third-party AI models like GPT or Claude.

Where is the data hosted?

Omnifact is hosted on GDPR-compliant servers within the European Union, specifically in Germany. Organizations with extreme security needs can also opt for an on-premise, air-gapped deployment.

Which AI models can I use with Omnifact?

The platform provides access to a variety of leading models from providers such as OpenAI, Anthropic, Mistral, and Google. Users can choose their preferred model per conversation to avoid vendor lock-in.

What are Omnifact Spaces?

Spaces are customizable AI environments where teams upload internal documents to create a knowledge base. The AI assistant then provides answers based strictly on that provided documentation.

Does Omnifact support Single Sign-On (SSO)?

Yes, the platform supports enterprise Single Sign-On (SSO) within the Enterprise plan. This allows for seamless, secure access across the entire organization alongside role-based access control.

Pricing Plans

Pro
EUR25.00 / per user per month (billed annually)

Access to Chat and Spaces

5€ Usage Credits per Month

Unlimited Low-Cost Models

Omnifact Privacy Filter™

Teams up to 50 Users

5,000 Pages for Spaces

Email Support (24 Hours)

Onboarding & E-learning Access

GDPR-Compliant EU Hosting

Mobile Web App Access

Enterprise
Unknown Price

Unlimited Team Size

Bring Your Own API Key

On-premise Deployment Option

Enterprise SSO

Usage Analytics & Insights

API access to Spaces

Custom SLAs

Dedicated Account Manager

Custom Usage Credits

Self-hosted LLM Support

Job Opportunities

There are currently no job postings for this AI tool.

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