Omnifact
Omnifact is a GDPR-compliant enterprise AI platform with a Privacy Filter™ that masks sensitive data before it reaches third-party LLMs.
If your compliance team has blocked a ChatGPT rollout, Omnifact is the version of that conversation that ends in a signed contract. The €25/user/month Pro tier (billed annually) is genuinely usable for teams up to 50, with base models like GPT-6 Luna and Claude Haiku 4.5 unlimited and premium models credit-metered. It is not the cheapest AI seat available, and the credit system will bother heavy premium-model users — but few tools in this bracket ship a prompt-level masking filter, MCP-connected agents, and an optional air-gapped deployment. Compare against Microsoft 365 Copilot if you live in Office, or a self-hosted open-source stack if you want no vendor at all.
Verified 3d ago · liveness 74/100 · cite: rightaichoice.com/tools/omnifact
- Banks, insurers, and financial services teams needing AI on customer data without GDPR exposure
- Hospitals, clinics, and social services handling patient data under strict data protection rules
- Public administration and municipal authorities replacing shadow-IT ChatGPT usage
- IT and compliance leaders needing EU data residency, audit logging, and role-based access
- Individuals or hobbyists wanting a free personal AI chat tool
- Small teams shopping purely on price per seat — €25/user/month billed annually is enterprise-grade spend
- Users who want unlimited premium-model access without credit tracking or overage costs
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Skip Omnifact if you need unlimited premium-model access at a flat per-seat price, or if your organization has no EU data-residency or data-protection requirement driving the purchase.
Premium models like GPT-6 Sol and Claude Opus 5.5 draw on the €5 monthly credit allocation, and once it is gone you drop back to base-tier models unless you buy more credits.
Pro at €25 per user per month billed annually fits a 10–50 person regulated team that needs a compliant AI seat with unlimited base models and metered premium access. Above that, Enterprise is custom-priced and competes with Microsoft 365 Copilot on integration depth and with self-hosted open-source stacks on total control. Below it, a $20/month personal ChatGPT subscription is far cheaper but gives you no EU residency, no Privacy Filter™, and no admin controls.
In short
Omnifact — Omnifact is a GDPR-compliant enterprise AI platform with a Privacy Filter™ that masks sensitive data before it reaches third-party LLMs. Best for Banks, insurers, and financial services teams needing AI on customer data without GDPR exposure, Hospitals, clinics, and social services handling patient data under strict data protection rules, Public administration and municipal authorities replacing shadow-IT ChatGPT usage. Free to start; paid plans from €25/user/mo.
What's new in Omnifact
Checked 4 days agoAcross the latest 9 updates: 9 feature updates.
Feature Drop: Claude Sonnet 5.5 Now Available
Omnifact adds Anthropic's Claude Sonnet 5.5 via Google Cloud and Anthropic.
Feature Drop: GPT-6 Sol and Luna Now Available
Omnifact adds OpenAI GPT-6 Sol and GPT-6 Luna, with Azure available for EU data residency.
Feature Drop: Claude Opus 5.5 Now Available
Omnifact adds Anthropic's Claude Opus 5.5 to its supported model lineup.
Feature Drop: Connect Your Business Systems with MCP Servers
MCP server connections give agents secure access to business tools and data, with granular admin controls.
Feature Drop: Native Office Document Creation in Chat
Agents can run code to analyze data and generate Word, Excel, and PowerPoint files in chat.
Feature Drop: Reimagining Chat with Agents
Chat is rebuilt around agents that plan multi-step tasks, stream progress live, and select tools automatically.
Feature Drop: Dictate Messages in Chat Input
Speech-to-text dictation added directly to the chat input.
Feature Drop: Claude Opus 5 Now Available
Omnifact adds Anthropic's Claude Opus 5 to its supported models.
Feature Drop: GPT-5.6 Sol, Terra, and Luna Now Available
Omnifact adds OpenAI GPT-5.6 Sol, Terra, and Luna to its model line-up.
Viability Score
How well maintained and how widely used is Omnifact? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Privacy Filter™ masks sensitive data at the prompt level before it reaches external LLMs
- Click to Reveal lets authorized users unmask filtered data
- Agentic chat that plans multi-step tasks, streams progress live, and selects tools automatically
- Code execution in chat that generates Word, Excel, and PowerPoint files
- MCP server connections giving agents secure access to business tools
- Chat across OpenAI, Anthropic, Mistral, and Google models with a per-chat LLM selector
- Spaces — custom AI assistants built on internal documents
- Knowledge Base querying with inline source citations across up to 5,000 pages (Pro) or unlimited (Enterprise)
- Connected Sources auto-sync OneDrive, SharePoint, and Google Drive folders
- Document upload and analysis in chat for summaries and insight extraction
- Web browsing agent for up-to-date information
- Image generation, including a selectable default image model for the team
- Speech-to-text dictation in the chat input
- Multilingual query support
- Mobile web app access
About Omnifact
Omnifact is an enterprise AI platform built for regulated organizations — banking, healthcare, public administration, and any team where sending customer or patient data to a US cloud is a non-starter. Instead of another chat front end, it bundles agentic Chat, Spaces (custom assistants trained on internal documents), and an AI Gateway that exposes every supported model through one OpenAI-compatible endpoint, hosted in Germany and ISO 27001 certified. The headline capability is Privacy Filter™, which masks sensitive data at the prompt level before it reaches OpenAI, Anthropic, Mistral, or Google, plus Click to Reveal for authorized users. As of September 2026, Chat runs on agents that plan multi-step tasks, stream progress live, and pick tools automatically; agents can execute code to analyze data and produce Word, Excel, and PowerPoint files, and you can connect MCP servers for secure access to business systems. Other capabilities: a per-chat LLM selector, document upload and analysis, a web browsing agent, image generation, speech-to-text dictation in the chat input, and multilingual queries. Base-tier models — GPT-6 Luna, Claude Haiku 4.5, Gemini 3.1 Flash Lite — run unlimited after your monthly credits are spent. Premium models draw from a €5 monthly credit allocation; the catalogue now includes Claude Sonnet 5.5 and Claude Opus 5.5, GPT-6 Sol, GPT-5.6 Sol/Terra/Luna, and Gemini 3.8 Flash, with several models on Azure or Google Cloud for EU data residency. Connected Sources sync OneDrive, SharePoint, and Google Drive folders into a Spaces Knowledge Base, and Group Management with SCIM sync assigns capabilities, models, and Space access across teams. IT gets SSO, role-based access control, multi-tenancy, 2FA enforcement, usage analytics, audit logging, and optional on-premise or air-gapped deployment with self-hosted LLMs. Pro is €25 per user per month billed annually with a 10-day free trial, no credit card required. Against ChatGPT or Microsoft Copilot, Omnifact trades model breadth and personal-account convenience for EU data residency, granular control, and a privacy layer those tools don't ship.
Behind the Verdict
Omnifact's pitch is that most AI projects fail on security, acceptance, and integration rather than model quality — and the product is built accordingly. Privacy Filter™ masks customer, patient, or internal identifiers at the prompt level before anything reaches OpenAI, Anthropic, Mistral, or Google, with Click to Reveal for authorized users, audit logging of all interactions, and EU hosting on infrastructure such as IONOS or Open Telekom Cloud. That is the single feature competitors in the regulated space struggle to match. Where it has strengthened most recently is the agent layer. Since August 2026 Chat is built around agents that plan multi-step tasks, stream progress live, and select tools automatically. September 2026 added MCP server connections with granular admin controls and code execution that produces Word, Excel, and PowerPoint files directly in chat. The model catalogue is refreshed aggressively: Claude Sonnet 5.5, Claude Opus 5.5, GPT-6 Sol, GPT-6 Luna, GPT-6 Sol on Azure for EU residency, Google Nano Banana 2 (Gemini 3.1 Flash Image) on Google Cloud EU, and Gemini 3.8 Flash all landed in September alone, and models are grouped by data region in team settings with region flags in the selector. July 2026 added Group Management with SCIM sync, org-wide 2FA enforcement, and speech-to-text dictation. Strengths: prompt-level masking, EU data residency across multiple clouds, agentic workflows with tool use, Spaces knowledge bases synced from OneDrive, SharePoint, and Google Drive, and enterprise plumbing (SSO, RBAC, multi-tenancy, analytics, on-premise or air-gapped). Weaknesses: the Pro plan caps teams at 50 users and 5,000 pages across Spaces, premium model access is credit-metered rather than unlimited, and on-premise, SSO, audit, and the Spaces API sit behind Enterprise, so the quote process is real work. There is a small free trial but no perpetual free tier. Where it fits: banks, insurers, hospitals, social services, public authorities, and HR/legal/support functions that need assistants grounded in internal policy documents. Where it doesn't: individuals who want a cheap personal AI chat, or teams with no data-residency requirement who will find €25/user/month billed annually expensive next to a $20/month personal subscription.
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Real-world workflow fit
Concrete scenarios for the personas Omnifact actually fits — and what changes day-one when you adopt it.
Rolls out Omnifact under SSO with RBAC, enables Privacy Filter™ so policyholder identifiers are masked before reaching Anthropic or OpenAI models, and turns on audit logging and 2FA enforcement for the department.
Outcome: Staff query internal policy documents in Spaces instead of pasting them into personal ChatGPT accounts, and every interaction is logged for the next audit.
Connects SharePoint and OneDrive folders as Connected Sources, builds a Space with templates for meeting minutes and mail triage, and connects MCP servers so the agent can act on internal systems.
Outcome: Administrative staff retrieve structured answers from internal documents and agents complete multi-step tasks without data leaving the EU-hosted environment.
Uploads reports and guidelines into a team Space and uses agentic chat to summarize them and export structured Word and Excel files, dictating questions by voice where it is faster.
Outcome: Documentation and reporting turnaround shortens while patient identifiers stay masked and processing remains GDPR-compliant.
Use Cases
- Answer internal knowledge base questions with Spaces assistants trained on company documents.
- Analyze patient data with personal identifiers masked before AI processing.
- Answer employee compliance questions from policies indexed in the platform.
- Summarize internal reports by uploading documents directly into chat.
- Help public authority staff retrieve structured information from internal databases.
- Run multi-step agent tasks that analyze data and output Word, Excel, or PowerPoint files.
- Connect MCP servers so agents can act on business tools under admin-defined controls.
- Use the AI Gateway to call Omnifact models from any OpenAI-compatible client.
Models Under the Hood
as of 2026-09-23
Limitations
- Pro caps teams at 50 users, includes 5,000 pages across all Spaces Knowledge Bases, and provides €5 monthly usage credits for premium AI models; after credits are used, only base-tier models remain unlimited.
- Enterprise carries custom terms and is where self-hosted LLM integration, API access to Spaces, SSO, usage analytics, SLAs, on-premise and air-gapped deployment, and the dedicated account manager live — all of which require a sales conversation before you can budget.
- Onboarding and training are offered on the platform side, and Omnifact Academy is a separately priced add-on.
as of 2026-10-05
Verification history
We have re-verified Omnifact 9 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 9 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Omnifact tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free Trial
$0
Ideal for
Teams evaluating whether Privacy Filter™ and EU hosting actually satisfy their data protection officer before committing budget.
What this tier adds
Free entry point — 10 days of full platform access including Chat and Spaces, with no credit card required.
Pro
€25/user/month (billed annually)
Ideal for
Regulated teams of up to 50 people that need compliant chat and document assistants without an enterprise procurement cycle.
What this tier adds
Starting paid tier at €25 per user per month billed annually: full platform, €5 monthly premium-model credits, unlimited base-tier models, Privacy Filter™, and 5,000 Knowledge Base pages.
Enterprise
Custom
Ideal for
Banks, hospitals, and public bodies that need SSO, audit analytics, self-hosted models, or air-gapped on-premise deployment.
What this tier adds
Removes the 50-user cap and 5,000-page limit, adds custom AI credits, bring-your-own API key, self-hosted LLMs, Spaces API access, SSO, custom SLAs, on-premise deployment, and a dedicated account manager.
Omnifact Academy (Add-on)
Custom
Ideal for
Organizations rolling AI out beyond IT and needing staff trained and certified on the platform.
What this tier adds
Add-on to any plan: individual courses from beginner to advanced, strategy workshops for AI roadmaps, and participant certification options.
Where the pricing makes sense
The company stage and team size where Omnifact's pricing actually pencils out — and where peers do it cheaper.
Pro at €25 per user per month billed annually fits a 10–50 person regulated team that needs a compliant AI seat with unlimited base models and metered premium access. Above that, Enterprise is custom-priced and competes with Microsoft 365 Copilot on integration depth and with self-hosted open-source stacks on total control. Below it, a $20/month personal ChatGPT subscription is far cheaper but gives you no EU residency, no Privacy Filter™, and no admin controls.
Setup time & first value
How long it actually takes to get something useful out of Omnifact — broken out by persona, not the marketing-page minute.
A small team can start chatting the same day using the 10-day free trial, since chat and Spaces work without IT configuration. Full rollout with SSO, RBAC, Connected Sources for OneDrive or SharePoint, and Group Management with SCIM sync typically takes a few weeks of IT coordination on Pro or Enterprise, and on-premise or air-gapped deployment is a longer infrastructure project scoped through
Switching to or from Omnifact
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From personal ChatGPT accounts (shadow IT): move the same prompts into Omnifact Spaces, add internal documents as a Knowledge Base, and enable Privacy Filter™ so no sensitive data reaches the external model.
- →From Microsoft 365 Copilot: connect OneDrive and SharePoint as Connected Sources, keep working in your Microsoft files, and route queries through Omnifact for EU residency and prompt-level masking.
- →From a self-built LLM wrapper: point existing OpenAI-compatible clients at the AI Gateway with your org API key to reuse code while gaining audit logging, RBAC, and EU hosting.
- ↗To ChatGPT or Microsoft 365 Copilot: export the documents you indexed in Spaces and rebuild assistants as custom GPTs or Copilot agents, accepting US-cloud processing.
- ↗To a self-hosted open-source stack: reproduce Spaces and masking with an open-weight model behind your own gateway, accepting that agent tooling, Connected Sources, and the Privacy Filter™ need to be rebuilt in house.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Omnifact”, and we withheld 6: 6 could not be judged, because “Omnifact” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Omnifact.
Official links
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Common stack mates teams adopt alongside Omnifact, with the specific reason each pairing earns its keep.
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Featured Head-to-Head Comparisons
Omnifact vs Audioeye
Omnifact and AudioEye serve completely different needs. Omnifact is a privacy-first generative AI platform for regulated enterprises, while AudioEye is an automated web accessibility compliance tool. If you need GDPR-compliant AI with data masking and EU hosting, choose Omnifact. If you need ADA/WCAG compliance audits and remediation, AudioEye is the right fit.
Omnifact vs Push Security
These tools address entirely different problems: Push Security protects browsers from AI-powered attacks and data leakage, while Omnifact is a secure AI chat platform for regulated enterprises. Choose Push if you need browser-based threat detection and AI usage control; choose Omnifact if you need GDPR-compliant AI assistants with data masking.
Omnifact vs Sublime Security
For regulated enterprises needing secure, compliant generative AI with data sovereignty and sensitive data masking, Omnifact is the clear choice. For security teams focused on advanced email threat detection (BEC/VEC) with custom detection rules and low false positives, Sublime Security excels. They solve fundamentally different problems, so choose based on whether your priority is internal AI productivity or email defense.
Beautiful Ai vs Omnifact
If your priority is regulatory compliance and secure AI chat, Omnifact is the clear choice with its GDPR hosting, Privacy Filter, and support for multiple enterprise LLMs. If you're a team that churns out presentations and needs a tool to create brand-consistent decks 10x faster, Beautiful.ai's Smart Slides and AI writing are a better fit. These tools serve completely different needs — so choose based on whether you're protecting data or presenting it.
Alternatives to Omnifact
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