Private AI Integration Services
Make your enterprise data securely available to your private LLMs.
Product Overview
PAI Integration Services help organisations connect their existing systems to Private AI. Many enterprises store critical data in file servers, ERP, CRM, ticketing and other line-of-business systems. To make this data safely accessible to large language models, an MCP server (agent) must be created for each system that should be queried or updated by the LLM.
Safe Swiss Cloud designs, develops, deploys and operates these MCP servers for its customers. In addition, the team supports broader integration work inside the AI environment, for example connecting PAI API to workflow engines, automation platforms or custom business applications, so that AI can become part of end-to-end business processes rather than a standalone tool.
Service Scope
MCP Server Development
Safe Swiss Cloud designs and implements custom MCP servers that expose selected data and functions from systems such as file servers, ERP, CRM or ticketing platforms to the LLM. The focus is on clear permission boundaries, robust error handling and predictable behaviour, so that AI agents can safely read, search and, where appropriate, write data without bypassing existing controls.
MCP Operations & Maintenance
Once MCP servers are deployed, Safe Swiss Cloud operates them as part of the Private AI environment and keeps them up to date. This includes monitoring availability and performance, applying security updates, adapting to changes in underlying APIs or data structures and extending integrations with new capabilities as requirements evolve, ensuring long-term stability and compatibility.
Support & Troubleshooting
Customers receive expert support for all MCP-related questions, from analysing failed calls and latency issues to diagnosing unexpected behaviour in complex workflows. The support team understands both the Private AI stack and typical enterprise systems, which shortens resolution times and reduces the risk of integration-related downtime.
Workflow & Automation Integration
Beyond the MCP layer, PAI Integration Services cover the connection of PAI API and MCP servers to workflow engines, automation platforms and custom applications. This enables multi-step processes in which LLMs, APIs and existing systems work together, for example to automate document-heavy tasks, approvals, ticket handling or customer service workflows end to end.
Pricing
PAI Integration Services are billed on a time-and-material basis, with work charged per hour. This gives organisations the flexibility to start with small integrations, expand successful patterns to additional systems and always maintain full transparency over the effort invested in development, operations, maintenance and support.
Ready for Private AI Integration?
In our free briefing, we show you how to use our Private AI Integration Service productively and securely in the company – without data risks and compliance concerns.
Service Description
This service connects your private LLMs to your existing enterprise systems, so that your AI workloads can draw on internal business data — CRM, ERP, ticketing, document stores and more — without exposing it to third parties. The integration is implemented through MCP servers, which Safe Swiss Cloud designs, deploys and operates on your behalf.
The following service details describe the scope and commercial model:
- Built on the Model Context Protocol (MCP): The service uses MCP, the emerging open standard for connecting LLMs to external data sources and tools.
- Custom MCP server implementation: Safe Swiss Cloud designs and implements MCP servers that allow the Private AI LLMs to securely access data held in your enterprise systems.
- Managed by Safe Swiss Cloud: Once deployed, Safe Swiss Cloud manages the MCP servers on the customer’s behalf — no in-house operations team is required.
- MCP Server Managed Service: The managed service covers ongoing operations, monitoring and maintenance, ensuring availability and timely updates.
- Pricing: Initial implementation is billed on a time-and-materials basis. Ongoing operation of each MCP server is covered by a monthly subscription fee.
LLM Models at Safe Swiss Cloud: Core Characteristics
Choose from a rich catalog of sovereign LLMs – all with the same strict privacy and compliance guarantees. Safe Swiss Cloud’s Private AI (PAI) services combine a broad selection of open-source LLMs with a consistent security, privacy and compliance foundation. You keep full control over data, infrastructure and model choice, while we provide the sovereign hosting and operational excellence
Which LLM Models are supported by PAI?
SSC provides access to the following open source large language models. These are provided as-is with no warranties:
| Model | Type | Details |
| apertus-70b | Chat | Optimized for multilingual dialogue use cases. |
| bge-m3 | Embedding | Optimized for Embeddings and parse retrieval with support for Multi-Functionality, Multilinguality, and Multi-Granularity. |
| bge-reranker-v2 | Reranker | Optimized for Reranker to get relevance score. |
| deepseekr-v32 | Chat | Optimised for reasoning chat completions |
| deepseek-ocr | OCR | Optical Character Recognition |
| gemma-12b-it | Multimodal | Optimized for handling text and image input and generating text output. |
| gemma4-31b | Multimodal | Optimized for handling text and image input and generating text output. |
| gpt-oss-120b | Chat | Optimized for powerful reasoning, agentic tasks, and versatile developer use cases. |
| granite-33-8b | Chat | Optimized for Reasoning and instruction-following capabilities. |
| granite-emb-278m | Embedding | Optimized for Embeddings. |
| granite-vision-2b | Multimodal | Optimized for compact and efficient vision-language model |
| llama4-maverick | Chat and multimodal | Optimized for text and multimodal experiences. |
| llama4-scout-17b | Chat and multimodal | Optimized for text and multimodal experiences. |
| mistral-v03-7b | Chat only | Optimized for multilingual dialogue use cases. |
| qwen3-8b | Reasoning | Optimized for thinking and reasoning. |
| qwq-32b | Reasoning | Optimized for thinking and reasoning. |
| qwen3-vi-235b | Multimodal | Optimized for text and multimodal experiences. |
| whisper-large-v3 | Speech to Text | For converting speech to text. |
Other commercial or proprietary LLMs can also be integrated depending on licensing and infrastructure requirements.
Characteristics of all Private AI Services
Private AI (PAI) involves SSC providing Customers with sovereign Private AI solutions. The following service characteristics apply to all of Safe Swiss Cloud‘s PAI services.
- Multi-lingual LLMs provide you access to knowledge from any language with results being delivered in your own language.
- Choice of models: Select from a large catalogue of open large language models (LLMs) including DeepSeek, Llama4-Maverick, Apertus, Mistral and many more.
- Sovereign AI by design: All LLMs are privately hosted in Switzerland, by Swiss owned entities. Your data always stays under your control. Your data is processed strictly in accordance with Swiss and privacy regulatio
- Privacy: Your data is processed strictly in accordance with with the Swiss Data Privacy Act (DSG) and EU GDPR.
- No Training, Retraining or Fine Tuning of the LLMs with your data.
- ISO Certifications: 27001, 27017, 27018.
- Conforms to the C5 and NIS2 standards
- 100% hosted in Swiss data centers under Swiss control.
Why Private AI?
Sovereignty matters
Public AI is useful—but it can conflict with enterprise privacy, compliance and change control. Private AI keeps prompts, data and outputs inside your perimeter, with model versions you govern.
AI systems hosted by US-controlled providers fall under the US CLOUD Act, even when infrastructure is outside the US. That exposure conflicts with Swiss/EU data-protection expectations. Hosting in Swiss sovereign infrastructure under Swiss control avoids this risk.
Safe Swiss Cloud commitments
- Full privacy: Data is used strictly to provide the contracted service—no training on your proprietary data unless you opt in.
- Hosted by Safe Swiss Cloud in Swiss data centres.
- Swiss law & control: Services run under Swiss law (aligned with EU law); all service entities are Swiss-controlled.
- Not subject to US CLOUD Act coercion: As a fully Swiss-controlled IT group, Safe Swiss Cloud cannot be compelled to disclose customer data by US law.
Outcome: predictable operations, regulatory alignment (GDPR, DSG, FINMA, DORA) and audit-ready AI.
PAI Integration Services Pricing
| Service | Unit | Price |
|---|---|---|
| PAI Integraion e.g. creating an MCP server | Per hour. Based on actual hours worked. | 250.00 |
| MCP Maintenance | Per hour. | Request an estimate. Support Packages can be used for this. |
| Managed MCP Service.Includes security updates, backups, restores, monitoring. | Fixed price per month | Depends on the MCP server. Request quotation |
| Workflow Integrations | Per hour. | Request an estimate. Support Packages can be used for this. |
| Managed workflow service, e.g. based on n8n. Includes security updates, backups, restores, monitoring. | Fixed price per month | Depends on the complexity of the workflow. Request quotation |
How to get started
- Initial briefing – We assess your goals, compliance requirements, and current IT landscape to determine the optimal AI architecture.
- Architecture design – Together we select suitable LLMs, integration points, and hosting options that fit your strategy.
- Implementation – We deploy and integrate the AI environment, connecting it to your internal systems securely and efficiently.
FAQ
Questions and answers about Private AI by Safe Swiss Cloud
Private AI at Safe Swiss Cloud means three things:
- Customer data — prompts, replies, and AI output — is never used to train models.
- Customer data is handled in accordance with the Swiss Data Protection Act (DSG) and the EU’s GDPR, ensuring full privacy compliance.
- The infrastructure is sovereign, meaning it is not subject to arbitrary service interruptions for non-technical reasons.
Safe Swiss Cloud’s Private AI complies fully with the revised Swiss Data Protection Act (CH DSG) and the EU GDPR.
No. Prompts and responses are not stored in logs and therefore cannot be viewed or traced by Safe Swiss Cloud staff.
Yes. Every customer receives their own dedicated front end and RAG (Retrieval-Augmented Generation) system. Prompts are fully isolated from one another and have no cross-customer side effects.
Yes. This option is more expensive because it involves dedicated GPUs for a single customer. It is a viable solution for customers with sufficient workload volume and strict compliance requirements for a dedicated AI infrastructure.
Swiss law requires that Safe Swiss Cloud may only hand over customer data to non-Swiss or foreign governments if a warrant issued by a Swiss court under Swiss law has been served. This provides a robust legal barrier against extraterritorial data access requests.
Yes. The technical privacy features, together with the regulatory frameworks of the Swiss Data Protection Act and the EU GDPR, ensure that the Private AI environment is suitable for regulated data, including healthcare and financial data.
Yes. Safe Swiss Cloud offers dedicated GPU and storage clusters for individual customers.
Backups are always encrypted. Snapshots of an encrypted volume are also encrypted. Customers can additionally choose to encrypt data at rest, which ensures that all snapshots remain encrypted and cannot be used in any way other than intended.
We use open-source models accessible via the industry-standard OpenAI API. This allows customers to switch models and providers as needed, without being locked into proprietary formats or interfaces.
All AI data and models are stored and processed exclusively in Switzerland.
Safe Swiss Cloud uses open-source models and does not train — or contribute to training — these models. As a result, customer data (prompts, AI output, logs, etc.) is never used for any purpose other than what the customer explicitly requests. This prevents confidential information from inadvertently entering the public domain.
Many publicly available AI services silently use customer data for training. For example, an employee who uploads a file containing confidential information to a public AI service may see that data incorporated into a future large language model (LLM) iteration — potentially enabling a competitor to retrieve proprietary information in a future query.
Safe Swiss Cloud offers an SLA with 99.9% uptime. For paid support plans, the guaranteed response time is a maximum of one hour.
We offer services to develop MCP (Model Context Protocol) servers for connecting AI systems to enterprise data sources and workflows.
Safe Swiss Cloud offers paid support packages with 24/7 coverage. For details, please visit our Support Services page.
Safe Swiss Cloud is ISO 27001, ISO 27017, and ISO 27018 certified and audited annually. This ensures that an Information Security Management System (ISMS) is in place, that the necessary standards for protecting Personally Identifiable Information (PII) are met, and that additional security and privacy measures for cloud environments are implemented.
Safe Swiss Cloud also complies with a range of industry-specific standards, including FINMA and BaFin (finance), HIPAA and FMH (healthcare), EU GDPR and Swiss DSG (data protection), as well as C5 and NIS2.
Large Language Models are accessed via the industry-standard OpenAI API. Interfaces to enterprise data are based on the Model Context Protocol (MCP) standard. Together, these ensure a very high degree of interoperability between systems, making it straightforward to switch models or providers.
Like all AI service providers — including the major international public cloud providers — Safe Swiss Cloud does not guarantee specific performance levels for AI workloads. However, a large pool of high-performance GPUs and dynamic capacity management have been implemented to ensure strong performance under normal operating conditions.
