"The all-in-one AI platform for businesses — Turnkey, Secure & GDPR-compliant"
Omnifact is a B2B AI platform for the secure use of generative AI in businesses. It combines team chat with multiple LLM providers, document-based AI assistants via Spaces, integrations, API access, privacy filters, role/team management, and optional enterprise deployment up to on-premise. The platform is clearly focused on data sovereignty, compliance, and integration into enterprise IT.
Omnifact
The all-in-one AI platform for businesses — Turnkey, Secure & GDPR-compliant
Origin: Germany ⓘ Omnifact GmbH, Hansaallee 154, 60320 Frankfurt am Main, Germany
Spaces API / Self-Hosted LLMs / BYOK For enterprise integrations, internal knowledge assistants, your own model infrastructure, and controlled model usage.
Target audience
Omnifact is clearly aimed at companies, public authorities, and other organizations with increased needs for data protection, traceability, and controllable AI usage. The platform is particularly well suited for IT, data protection, compliance, specialist departments, knowledge work, public administration, as well as regulated industries such as the financial and healthcare sectors. Through its Pro and Enterprise structure, Omnifact addresses both small to medium-sized teams and large organizations with complex infrastructure and governance requirements.
Outstanding features
The most important differentiating features are the Privacy Filter™ for automatic masking of sensitive data, Spaces as document-based AI assistants built on internal knowledge, multi-LLM support with control over providers and models, BYOK, API access, integrations with OneDrive, SharePoint, and Google Drive, as well as role-based administration with SSO/SCIM. In addition, Omnifact offers web browsing, image generation, document analysis, and publishable Spaces as API endpoints for external applications.
Main use cases
Omnifact is particularly strong in internal knowledge management, research across company documents, secure team chats, policy-aligned assistance in regulated environments, creating and revising business texts, document comparison, and AI-supported integration into existing enterprise systems. Via Published Spaces and the Public API, specialized assistants can also be integrated into websites, Slack bots, or internal tools.
Usage & notes
Omnifact is not a typical consumer tool, but a structured business platform. Data protection assessment in particular depends on the specific setup: SaaS in Germany/EU is well documented, while depending on team settings, external LLM providers can also be integrated. It is also important to note that although the Privacy Filter provides strong protection by default, it is automatically disabled for Published Spaces via API and must therefore be deliberately secured.
| Target audience | Assessment |
|---|---|
| SMEs / Teams | Very suitable – for secure AI chat, internal knowledge spaces, model access, and controlled team usage. |
| Large enterprises | Very suitable – due to SSO, on-premise option, self-hosted LLMs, BYOK, usage analytics, and enterprise controls. |
| Privacy-conscious EU companies | Very suitable – Omnifact cites GDPR compliance, ISO 27001, hosting in Germany, and EU data residency. |
| IT and AI teams | Very suitable – for centralized model control, LLM selection, Privacy Filter, Spaces API, and controlled AI rollout. |
| Private individuals | Rather unsuitable – Omnifact is clearly geared toward business and enterprise use. |
Hosting & Data
1) On-prem / local hosting
Meaning: The company operates the solution on its own hardware or within its own infrastructure. In the strictest sense, not only the application runs locally, but ideally the model as well.
2) Private cloud / data center
Meaning: The solution runs in a dedicated or more clearly separated cloud environment, often with a hosting provider or hyperscaler, but in a German data center or in a particularly controlled environment.
3) EU SaaS / managed
Meaning: The provider operates the solution itself as a service. The company uses the tool as a ready-made cloud service, ideally with EU data residency.
4) Hybrid
Meaning: One part of the processing remains internal / local / in a private cloud, while another part runs in an external cloud or EU SaaS.
5) AVV / DPA
Meaning: This is the data processing agreement or Data Processing Addendum. It governs that the provider processes personal data on behalf of the customer and is bound by the customer's instructions.
6) No training
Meaning: The provider does not use your prompts, uploads, attachments, chat histories, or outputs for training or improving the general model — ideally excluded by contract.
7) Open-source / transparency path
Meaning: There is a path toward greater technical transparency and sovereignty, for example through:
- open models
- documented components
- self-hostable parts
- traceable architecture
- export / switching options
| On-prem / local hosting | ✅ |
| Private cloud / data center | ✅ |
| EU SaaS / Managed | ✅ |
| Hybrid | ✅ |
| DPA / AVV | ✅ |
| No training on customer data | ✅ |
| Open source / transparency path | ⚠️ |
Overall assessment of hosting & data:
Omnifact is a business AI platform for chat, Spaces, internal knowledge assistants, access to leading LLMs, privacy filters, model control, team management, and enterprise integration. Positive aspects include managed EU/Germany hosting, EU-hosted models, an on-premise option, self-hosted LLMs, BYOK, SSO, API access to Spaces, and usage analytics. This makes Omnifact well suited both for EU SaaS and for more tightly controlled enterprise setups. The only critical point is that specific model providers, integrations, and third-country transfers must be reviewed for each use case.
Conclusion:
Omnifact is very well suited for companies that want to provide ChatGPT-like AI securely, centrally, and with a GDPR-oriented approach; Enterprise makes sense if on-premise, self-hosted LLMs, BYOK, or SSO are required.
| On-prem / local hosting | ✅ |
| Private cloud / data center | ✅ |
| EU SaaS / Managed | ✅ |
| Hybrid | ✅ |
| DPA / AVV | ✅ |
| No training on customer data | ✅ |
| Open source / transparency path | ⚠️ |
Overall assessment of hosting & data:
Omnifact is a business AI platform for chat, Spaces, internal knowledge assistants, access to leading LLMs, privacy filters, model control, team management, and enterprise integration. Positive aspects include managed EU/Germany hosting, EU-hosted models, an on-premise option, self-hosted LLMs, BYOK, SSO, API access to Spaces, and usage analytics. This makes Omnifact well suited both for EU SaaS and for more tightly controlled enterprise setups. The only critical point is that specific model providers, integrations, and third-country transfers must be reviewed for each use case.
Conclusion:
Omnifact is very well suited for companies that want to provide ChatGPT-like AI securely, centrally, and with a GDPR-oriented approach; Enterprise makes sense if on-premise, self-hosted LLMs, BYOK, or SSO are required.
Strengths & Weaknesses at a Glance
| Strengths | Weaknesses |
|---|---|
| • Strong focus on GDPR, data protection, and enterprise governance | • Primarily geared toward companies; usually overkill for private individuals |
| • Company headquarters and data storage in Germany/EU documented | • The current pricing page shows only Pro and Enterprise; no traditional permanent free version is apparent |
| • Privacy Filter™ masks sensitive information before transfer to external AI models | • Many enterprise features such as custom LLMs/API keys, SSO, SLAs, Spaces API, on-premise, and a dedicated account manager are Enterprise features |
| • Support for multiple LLM providers such as OpenAI, Anthropic, Google, Mistral, and proprietary models | • Data protection depends heavily on the configuration and the enabled LLM provider; some providers may involve third-country risks or lack DPA coverage |
| • Spaces for internal knowledge databases and RAG-based assistants | • The Privacy Filter can limit useful responses if identity-relevant information is masked and not released via Click to Reveal |
| • On-premise, EU cloud, private cloud, and optional air-gapped deployment documented | |
| • DPA publicly available; ISO/IEC 27001:2022 certification documented according to the DPA |
Reviews
0 reviews in total
There are no confirmed reviews for this tool yet.
Submit review
Deine Bewertung wird erst nach der Bestätigung per E-Mail sichtbar. Damit schützen wir das Portal vor Missbrauch.
Report review
Please select the reason why this review should be checked.
GDPR-compliant use possible?
GDPR assessment: Omnifact is very well suited from a GDPR perspective, especially for European companies.
Positive is that Omnifact mentions GDPR compliance, ISO 27001 certification, EU data residency, and hosting in Germany/Frankfurt. The DPA governs processing within the EU/EEA, processing on behalf under instruction, technical and organizational measures, support in the event of data protection incidents, data subject rights, and data protection impact assessments. In addition, Omnifact offers a Privacy Filter™, EU-hosted models, controllable model approvals, and, in the Enterprise plan, options for own API keys, self-hosted LLMs, and on-premise hosting.
Negative is that with optional third-party tools, CRM/support integrations, or model providers outside the EU, additional transfer mechanisms and subprocessors must be reviewed.
Server location: Germany / Frankfurt for Omnifact hosting; EU-hosted models are mentioned as an option.