What is SIMOSphere AI?

SIMOSphere AI is a European AI orchestration platform that connects CRM, ERP, and documents with large language models. It is GDPR-compliant, EU-AI-Act-ready, and Made in Germany.

Is SIMOSphere AI GDPR-compliant?

Yes. All data is stored in Germany (Hetzner), PII is automatically redacted before external model calls, and per-tenant encryption keys ensure data isolation. SIMOSphere AI is compliant with GDPR Art. 5, 6, 13, 17, 25, 28, 30, 32, and 35.

Which AI models does SIMOSphere AI support?

SIMOSphere AI supports Mistral (EU-hosted), OpenAI (GPT-4o, GPT-4o-mini), Anthropic (Claude), and self-hosted models. The platform routes requests to the optimal model for each task through a single, OpenAI-compatible API.

Can SIMOSphere AI be deployed on-premise?

Yes. The Enterprise plan includes an on-premise deployment option with dedicated tenant isolation, custom SSO integration (SAML, OIDC), and a 99.9% uptime SLA.

Is there a free trial?

Yes. All plans include a 14-day free trial with no credit card required. Register at onboarding.simosphereai.com to get started.

What is the Model Context Protocol (MCP) server?

The MCP server connects SIMOSphere AI to your existing business systems. It provides four built-in tools: search_documents (SharePoint, DMS), query_database (D365, CRM), create_record, and send_notification (email, Teams, Slack). Available from the Professional plan.

Orchestration

LLM Orchestration

One API key, all models. Intelligent routing, automatic fallbacks and full cost transparency.

Multi-Model Routing

Choose the optimal model per request: Mistral Large 2 for complex tasks, Apertus 8B for fast answers, or BYOK for OpenAI and Anthropic.

Automatic Fallback Chains

When a model is unavailable, the platform automatically routes to the next one — no interruption for the end user.

PII Redaction

Personally identifiable information is automatically detected and masked before every LLM call. After the response, original data is restored.

Cost Control

Token budgets per team, per API key and per model. Real-time dashboard with consumption and cost forecast.

MasterLLM

A meta-intelligent orchestrator automatically decides which model is best suited for each task — based on cost, latency and quality.

Audit Trail

Every LLM call is logged: model, tokens, latency, cost and redaction status. Exportable for external auditors.

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