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Independent tool overview

Omnifact at a glance

Omnifact is a German enterprise AI platform that gives teams one governed interface for multiple language models, internal knowledge assistants, document analysis, web research, and APIs. Its differentiators are EU hosting, an ISO 27001-certified security program, a configurable Privacy Filter, and Enterprise options for self-hosted models or on-premise deployment.

Visit the official Omnifact site ↗
Omnifact product preview
Headquarters
Frankfurt, Germany
Starting price
€25/user/month billed annually
Trial
10 days, no card required
Hosting
EU cloud, own cloud, or on-premise
Certification
ISO/IEC 27001:2022
Core products
Chat, Spaces, and AI Gateway

Overview

What Omnifact is

Omnifact combines a general workplace chat with Spaces: shared assistants configured for a department, project, or workflow and grounded in an optional knowledge base. Users can select among models from providers such as OpenAI, Anthropic, Google, and Mistral, while administrators manage team access and privacy controls.

The Privacy Filter detects and masks sensitive text before a prompt or retrieved passage is sent to an external model, then can reveal protected values to authorized users. That can reduce accidental disclosure, but it is not a substitute for data classification, least-privilege access, retention rules, vendor review, a data protection impact assessment, or human validation of generated answers.

Use cases

Who Omnifact is best for

The strongest fit depends on the job you need the product to complete, not the size of its feature list.

EU-regulated organizations

Centralize approved AI access with European hosting, auditability, masking, and enterprise deployment choices.

Internal knowledge assistants

Build shared Spaces that answer from policies, procedures, reports, and departmental documents with source references.

Multi-model teams

Offer several model providers behind one workspace instead of procuring and governing separate employee subscriptions.

Public-sector and healthcare administration

Support document-heavy internal work where data flows and user access require tighter review than a consumer chatbot.

IT-led AI rollouts

Combine SSO, SCIM, APIs, self-hosted models, onboarding, training, and custom deployment under an enterprise agreement.

Capabilities

Core Omnifact features

1

Multi-model chat

Lets users choose among enabled models from several providers for drafting, analysis, research, and everyday assistance.

2

Privacy Filter

Detects and masks configured sensitive data before content is sent to an AI model; the feature is enabled by default for teams.

3

Click to Reveal

Allows authorized users to reveal masked values in context while keeping protected data out of an external model request.

4

Spaces

Creates shared assistants with custom instructions, members, conversation history, and an optional internal knowledge base.

5

Knowledge-base retrieval

Indexes uploaded documents and cloud files, retrieves relevant passages, and shows source references with responses.

6

Response modes

Auto can use tools, Quick Response answers directly, and Simple Lookup limits the answer to a Space's knowledge documents.

7

Web and document tools

Supports web research, file analysis, image generation, and mixed workflows that compare external information with internal material.

8

Enterprise identity

Enterprise plans add SSO and SCIM lifecycle management alongside owner, admin, member, and knowledge-management roles.

9

Published Spaces and APIs

Enterprise customers can expose selected Spaces as controlled endpoints for internal tools, websites, or bots.

10

Deployment control

Enterprise buyers can connect their own API keys and self-hosted models or arrange an on-premise deployment.

Process

How the Omnifact workflow works

  1. Step 1

    Classify the use case

    Identify the data involved, legal basis, users, risk level, approved models, and whether cloud processing is acceptable.

  2. Step 2

    Choose the deployment

    Select Omnifact's EU-hosted service, enterprise self-hosting, or on-premise operation based on sovereignty and operational needs.

  3. Step 3

    Configure identity and privacy

    Set roles, groups, SSO or SCIM, Privacy Filter rules, logging, retention, and model availability before broad access.

  4. Step 4

    Build focused Spaces

    Give each assistant a narrow purpose, clear instructions, curated documents, named owners, and appropriate member access.

  5. Step 5

    Pilot with test cases

    Measure retrieval accuracy, leakage, hallucinations, refusal behavior, citations, latency, and the cost of premium models.

  6. Step 6

    Train and govern

    Teach employees what not to upload, review logs and permissions, refresh documents, and assign human approval for high-impact outputs.

Cost

Omnifact pricing and free plan

Omnifact offers a 10-day trial. Pro costs €25 per user per month when billed annually and includes €5 in monthly premium-model credits plus unlimited use of designated base-tier models. Enterprise pricing is custom and adds larger-scale identity, API, model, deployment, and support options.

Free trial

$0 for 10 days

Test the platform without a credit card before selecting a paid plan.

  • 10-day access
  • No credit card required
  • Confirm trial limits before a production pilot

Pro

€25/user/month billed annually

For teams of up to 50 users using Chat, Spaces, the Privacy Filter, and shared knowledge assistants.

  • €5 premium-model credit per user each month
  • Unlimited designated base-tier model use
  • Up to 5,000 pages for Spaces
  • 24-hour email support

Enterprise

Custom

For unlimited team size, advanced identity, integrations, deployment control, and negotiated service levels.

  • SSO and SCIM
  • Bring your own key and self-hosted LLMs
  • Published Spaces API
  • On-premise option and custom SLA

Omnifact Academy

Custom add-on

Training, strategy workshops, and tailored certification services for organizational adoption.

  • Individual training
  • AI-roadmap workshops
  • Custom certification options

Pricing checked . Check current pricing at the source ↗

Assessment

Omnifact strengths and limitations

Where it stands out

  • European hosting and on-premise options suit organizations with strict data-residency requirements.
  • One interface can reduce unsanctioned employee accounts across several model providers.
  • The Privacy Filter adds a useful automatic control before external model calls.
  • Spaces combine consistent instructions, team access, documents, and source-backed retrieval.
  • Simple Lookup gives users a straightforward way to request knowledge-base-only answers.
  • ISO 27001 certification provides a stronger governance signal than a self-attested security page alone.
  • Enterprise SSO, SCIM, roles, APIs, and deployment choices support an IT-managed rollout.
  • The published pricing page makes the small-team entry cost and included model credit clear.

What to consider

  • A privacy filter can miss sensitive information or mask too much; it should not be treated as a guarantee against disclosure.
  • Team administrators can disable the Privacy Filter, which can expose user input directly to selected third-party models.
  • Using an external model still creates a vendor data flow after masking; buyers must review each provider and chosen region.
  • GDPR-oriented features do not make every customer use case legally compliant without its own contracts, purpose limits, notices, and risk assessment.
  • Logging all interactions supports audits but also creates a sensitive record that needs access, retention, and deletion controls.
  • Knowledge-base answers can cite the wrong passage, omit a controlling policy, or hallucinate beyond the source.
  • All Space members can see document names, so membership and file naming require deliberate governance.
  • Pro is capped at 50 users and 5,000 Space pages; larger or more integrated deployments require Enterprise.
  • The €5 monthly premium-model credit may be small for long documents, high-end models, or heavy daily use.
  • SSO, SCIM, BYOK, self-hosted models, published APIs, and on-premise deployment are Enterprise features.
  • Self-hosting shifts patching, capacity planning, observability, and model operations back to the customer or its service agreement.
  • Model availability and the definitions of base-tier versus premium models can change over time.
  • Web browsing and connected storage expand the attack surface for malicious documents, prompt injection, and over-broad access.
  • Omnifact's comparisons with competing enterprise products are vendor-authored and should be independently validated in procurement.

Compare

Omnifact alternatives

The right alternative depends on the specific output, workflow, controls and budget your project requires.

Business Operations

Dust

Use Dust for another enterprise platform focused on custom team agents, connected knowledge, and operational workflows.

Explore Dust

Business Operations

Microsoft Copilot

Use Microsoft Copilot when Microsoft 365, Entra, and Graph-based workplace context are the primary ecosystem.

Explore Microsoft Copilot

Business Operations

ChatGPT

Use ChatGPT when you want OpenAI's broad general assistant and enterprise controls without a vendor-neutral multi-model layer.

Explore ChatGPT

Agents

Workspace Agents

Use OpenAI Workspace Agents for shared multi-step team workflows centered on ChatGPT and Codex.

Explore Workspace Agents

Questions

Omnifact FAQs

What is Omnifact?

Omnifact is a workplace AI platform that combines multi-model chat, shared assistants called Spaces, internal document retrieval, privacy controls, and enterprise APIs or deployment options.

How much does Omnifact cost?

Pro costs €25 per user per month when paid annually. It includes €5 in monthly premium-model credits and unlimited designated base-tier use. Enterprise and training prices are custom.

What does the Omnifact Privacy Filter do?

It detects and masks configured sensitive information in prompts and retrieved content before that material is sent to an AI model. Authorized users can reveal protected values afterward in supported flows.

Does the Privacy Filter guarantee that no sensitive data leaks?

No automated detector is perfect. Organizations should still minimize data, restrict access, test the filter against their real identifiers, prohibit passwords and payment data, and review external model flows.

Can Omnifact run on-premise?

Yes, an on-premise option is listed for Enterprise customers. Enterprise also supports self-hosted models and bring-your-own API keys.

What are Omnifact Spaces?

Spaces are shared, task-focused assistants with their own instructions, members, conversations, and optional knowledge-base documents. They can be used for policies, projects, departments, or repeatable expertise.

Is Omnifact GDPR compliant?

Omnifact markets GDPR-compliant hosting and controls, but a customer's compliance depends on its specific data, purpose, contracts, configuration, users, and procedures. Buyers should complete their own legal and security review.

Can Omnifact replace an internal search or policy owner?

It can make internal material easier to query, but it should not become the authoritative source by itself. Keep controlled source documents current and require human review for legal, medical, financial, HR, and policy decisions.

Bottom line

Our Omnifact verdict

Omnifact is a credible option for European organizations that want multiple AI models and internal knowledge assistants behind a more governable workplace layer. The €25 Pro tier is attractive for a controlled pilot; regulated buyers should focus less on the privacy slogan and more on filter testing, vendor data flows, permissions, retention, retrieval accuracy, and the operational terms of the chosen deployment.

Visit Omnifact website ↗
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