AI solutions that fit your organisation.

The German-speaking Mittelstand faces a particular challenge: the benefits of AI are obvious, but most platforms are built for enterprises with data science teams and million-euro budgets. SIMOSphere AI was purpose-built for organisations with 15 to 500 employees.

The platform requires no ML expertise. Within hours, you can connect your existing CRM, ERP and document management system via the Model Context Protocol. Pre-built skills and workspace templates accelerate onboarding for typical SME scenarios such as proposal analysis, contract review and customer correspondence.

Pricing starts at EUR 53.99 per month — no hidden costs, no minimum seat count, no consulting contract as a prerequisite. The 14-day trial enables a risk-free evaluation within your own business context.

GDPR sets clear requirements for the use of AI in enterprises: legal basis for processing, transparency about decision-making processes, technical and organisational measures. SIMOSphere AI implements these requirements directly in the platform architecture.

All data is processed and stored exclusively in German data centres. Before every external language model call, the automatic PII redaction detects and masks personal data. After the response, original data is restored — the language model never sees personally identifiable information at any point.

Data Processing Agreements pursuant to Art. 28 GDPR are available for all plans. The tamper-proof audit trail logs every API call, every model access and every data query — exportable for data protection officers and external auditors.

For organisations in regulated industries, handling classified information or particularly sensitive data, cloud hosting is not always an option. SIMOSphere AI offers full on-premise deployments within your own infrastructure from the Enterprise plan.

In the on-premise variant, no data leaves the corporate network. The platform supports proprietary GPU hardware for model inference, integrates with existing SSO infrastructure via SAML 2.0 and OIDC, and runs on standard container orchestration (Docker/Kubernetes).

The on-premise architecture of SIMOSphere AI is identical to the cloud version — no feature restrictions, no separate codebase. Updates, MCP connectors and workspace features are fully available in self-hosted operation.

Customer service teams are under pressure: rising ticket volumes, growing expectations for response times and quality, while staffing resources remain tight. SIMOSphere AI automates time-intensive routine tasks and supports service staff with complex enquiries.

Via the Model Context Protocol, SIMOSphere AI connects your ticketing system (Zammad, Dynamics 365, Salesforce) directly with language models. Incoming requests are automatically categorised, response drafts generated and context information from CRM and knowledge base provided — all GDPR-compliant with automatic PII redaction.

Every interaction is logged in the audit trail. Service managers can trace which responses were AI-assisted, which models were used and how quality ratings compare. This transparency meets EU AI Act requirements for documenting automated decisions.

Sales teams spend a significant portion of their working hours on administrative tasks: CRM maintenance, lead research, proposal creation and report generation. SIMOSphere AI automates these processes, giving sales the time for what matters — customer relationships.

Via MCP connectors, AI agents access Dynamics 365, Salesforce or HubSpot directly. New leads are automatically qualified, company profiles enriched and action recommendations generated. Proposal creation uses templates and price lists from the ERP system to produce personalised proposals in minutes rather than hours.

All sales data stays in the EU. Personally identifiable information of prospects and customers is automatically masked before processing by external models. The audit trail documents every AI-assisted recommendation for internal compliance review.

Compliance departments face a dual challenge: on one hand, they must accompany and safeguard the introduction of AI; on the other, they can use AI themselves to make their own work more efficient. SIMOSphere AI supports both sides.

The platform automatically classifies all deployed AI models by EU AI Act risk categories and maintains a living risk register. Changes to models, configurations and access permissions are logged in a tamper-proof manner. Compliance reports can be generated via API or dashboard export.

For AML reporting, contract review and regulatory research, AI agents access internal data sources via MCP connectors. Automatic PII redaction ensures that even when analysing sensitive documents, no personal data is transmitted to external models.