Swiss Knowledge Hub vs. ChatGPT Enterprise
ChatGPT Enterprise is the team version of OpenAI's well-known chatbot, built on GPT models with connectors. Swiss Knowledge Hub is a RAG platform that indexes enterprise sources into a citable knowledge base and is explicitly designed around Swiss compliance. This comparison highlights where the two products set different priorities — without demonizing either of them.
Feature comparison
Grouped by category. Rows marked with CH are highly relevant in the Swiss compliance context.
| Criterion | Swiss Knowledge Hub | ChatGPT Enterprise |
|---|---|---|
| Data Residency & Compliance | ||
| Data storage and inference in SwitzerlandCH | Partially supported. Core data (PostgreSQL, vector store, storage, Service Bus) in Azure Switzerland North; default models (DeepSeek V3, Kimi K2.5, Mistral Medium) via Azure AI Foundry. Front-end CDN via Azure West Europe; Video Indexer depending on configuration. | Not supported. OpenAI runs ChatGPT Enterprise on its own infrastructure, primarily in the US. Swiss data residency is not available. |
| FADP-compliant contract with Swiss place of jurisdictionCH | Supported. DPA on request, Swiss vendor. | Partially supported. OpenAI offers a DPA; the data processing relationship is with a US vendor, with corresponding jurisdiction and subprocessor footprint. |
| Training use contractually excludedCH | Partially supported. Depends on the chosen provider and its terms. In the default configuration with Azure-hosted models, there is no training on customer data; BYOK configurations follow the terms of the chosen provider. | Supported. OpenAI publicly states that Business and Enterprise data is not used for model training. |
| LLM Flexibility | ||
| Multiple LLM providers selectable | Supported. Nine providers (Azure OpenAI, Azure DeepSeek, OpenAI, DeepSeek, Anthropic, Google, Mistral, Azure AI Foundry, OpenAI-compatible custom endpoints) via BYOK or as defaults. The customer brings the key; SKH documents recommended provider configurations. | Not supported. ChatGPT Enterprise is locked to OpenAI models. |
| Swiss-hosted default models | Supported. DeepSeek V3, Kimi K2.5, Mistral Medium 2505 in Switzerland. | Not supported. Not supported |
| Integrations | ||
| SharePoint, OneDrive, Google Drive as indexed sources | Supported. Incremental sync with permission inheritance and a chunk index in the vector store. | Partially supported. ChatGPT offers connectors for SharePoint, Google Drive, and others that act as live search tools — less deeply indexed than a dedicated RAG platform. |
| Dalux (construction plans, minutes, acceptance reports)CH | Supported. Native first-party integration. | Not supported. No standard integration is known. |
| Audio and video transcription as a searchable source | Supported. Azure Video Indexer; meeting recordings become citable. | Partially supported. Whisper-based transcription is available; indexing into a central knowledge base is not a core feature. |
| Security | ||
| Citable answers with source chunk and page numberCH | Supported. Every answer comes with a chunk, page number, and a direct jump into the PDF. | Partially supported. Citations via connectors and browsing are available; depth depends on the tool, with no guaranteed chunk and page reference per answer. |
| Field-level encryption for PIICH | Supported. AES-GCM-256 field-level encryption (@47ng/cloak) for sensitive fields such as User.name, User.email, API keys, and integration connection strings. | Partially supported. AES-256 at rest and TLS in transit; no field-level PII layer in the product. |
| Per-query audit log including the chunks usedCH | Partially supported. Chronological per-tenant audit log (ActivityLog) including query events and referenced sources. An integrity hash chain or WORM signing is not standard. | Partially supported. Compliance API and admin logs are available; chunk-level detail is not publicly documented. |
| SSO / SCIM (Entra ID) | Partially supported. Standard auth via NextAuth (OAuth2 + email, including Microsoft and Google). Enterprise SSO (SAML/OIDC) and SCIM are available as needed or on request. | Supported. Standard with ChatGPT Enterprise. |
| Pricing & Licensing | ||
| Transparent CHF pricing on the website | Supported. Starter CHF 250/month, Business CHF 650/month, Enterprise CHF 1,050/month. | Not supported. ChatGPT Enterprise is priced individually through sales — no public price list. |
| Deployment Model | ||
| On-premises / dedicated Swiss subscription possible | Partially supported. Custom plan with a dedicated Swiss subscription; on-premises on request. | Not supported. No on-premises offering. |
| Whitelabel / own domain | Supported. Custom colors, logo, and domain per organization. | Not supported. Not supported |
| Support & Language | ||
| German-language support from Switzerland | Supported. Swiss-based support team, primarily German and English. UI currently DE + EN; RAG answers can be produced in additional languages via multilingual embeddings; further UI languages (FR/IT) on request. | Partially supported. International OpenAI support, primarily English. |
Which tool fits when
Both products address different starting points. This recommendation is intentionally honest.
When you need a citable knowledge base with source chunks and page references, core data must stay in Azure Switzerland North, or you want to pick LLM providers freely. The same applies when Dalux, Zipro, or multilingual administrative content needs to be integrated.
When you primarily need the raw chat and generation strength of GPT models for brainstorming, writing, and code, you have no specific Swiss hosting requirements, and the depth of the OpenAI model family is your key criterion.
Frequent questions
01Where is data stored in ChatGPT Enterprise?
02Are inputs to ChatGPT Enterprise used for training?
03Does ChatGPT Enterprise return citations with page numbers from your own PDFs?
04Can I use the OpenAI models in SKH instead of DeepSeek or Kimi?
05What does ChatGPT Enterprise cost in comparison?
Sources
Information about ChatGPT Enterprise comes from official documentation and product pages.
A 15-minute demo with a Swiss use case, your own documents, and the LLM of your choice.
Last updated: . We update this comparison continuously — feedback to hurni@swissknowledgehub.ch.