Private Enterprise AI — Platform
Five levels. One platform.
AI transforms knowledge into a new value-creation asset within a company—better, faster, and more productive than ever before. This success is based on five levels.
Level 1
Data
Data is the true asset of AI transformation.
Without company knowledge, every model remains generic. Data transforms generic AI into company-specific AI and creates the foundation for everything that follows.
Your knowledge grows with every use and remains exclusively yours.
AI accumulates productive knowledge from systems and people, gaining valuable new insights. Private Enterprise AI transforms this knowledge into an active asset within the company, continuously enriched and securely managed.
Vector database
semantic search across all company data — SAP, DMS, SharePoint, CRM, email
Knowledge Graph:
Contextual linking of knowledge — entities, relationships, processes can be represented in a structured way
Data sovereignty:
No training on your data by third parties — your knowledge base remains exclusively yours.
Level 2
Models
No single model is best for every task.
Private Enterprise AI operates independently of any specific model and can control any model hosted in a sovereign data center or integrate common public cloud models like Claude or ChatGPT. You decide which model to use for which tasks. Requirements and access rights for roles, departments, and teams are centrally managed and always respected.
Model assignment:
Team, Role, Department — individually configurable
Parallel operation:
Several models active simultaneously
Enterprise Service
Fine-tuning, proprietary models and specialized LLMs — operated as an Enterprise Service on Private Enterprise AI.
Open-source models
Pre-installed on q.beyond.
Instantly available · No latency · Completely private
Public cloud models
Connected via API · controlled connection.
Data masking before transmission · Full audit trail
Sensitive data is masked before transmission. Every API call is logged and audited by the integrated governance system.
Level 3
Governance
There can be no lasting AI success without governance.
When AI transforms knowledge into a new asset, governance is key to protecting and scaling it: Where does this knowledge reside, who has access to it, and what does the AI do with it?
Private Enterprise AI makes governance an integral part of the platform, offering RBAC, ISO 27001, GDPR, and even KRITIS options, and uses AI itself to implement these requirements. This allows you to extend AI from individual teams to the entire company without losing control.
EU AI Act · Audit Trail
AI system register, risk classification, documentation — fully auditable
RBAC · Roles & Rights
Fine-grained access control for teams and projects — centrally managed, effective immediately
SSO · Entra ID · LDAP
integration with existing user management — Single sign-on for all employees without additional accounts
API Key Management:
Individual keys for each application — centrally managed, fully traceable.
Level 4
Integration
Over 50 applications. One central access point.
Private Enterprise AI connects natively to the systems your company already uses—SAP, Microsoft, common business applications, and any solution that supports MCP. Additional applications can be integrated via REST, webhooks, and n8n. No isolated solution, just a single access point for your entire system landscape.
Integration also means that Private Enterprise AI orchestrates what already exists. Copilot and Joule remain in their domain — Private Enterprise AI makes them enterprise-ready through governance, data control, and centralized management.
OpenAI-compatible API
drop-in replacement for ChatGPT — no rebuild, immediately powerful
MCP · Function Calling
Model Context Protocol for standardiseddata sources · Function Calling for targeted tool calls by agents
SAP & Microsoft
Joule, Copilot, S/4HANA, Teams — natively integrated, centrally orchestrated
REST · OData · RFC · n8n
Open interfaces for any system landscape — Workflow automation via n8n
Public Cloud API
ChatGPT, Claude, Gemini — controlled connection.
Public cloud models have their strengths. Private enterprise AI enables their use—with one crucial prerequisite: data is reduced and masked before transmission. Sensitive corporate data does not leave the platform in plain text. Every connection is fully logged and audited through the integrated governance.
- Data masking before transmission — no plaintext in public cloud
- Full audit trail — every API connection logged and traceable
- Governance control remains with you — even for external model calls
Selection of existing integrations
Salesforce
Confluence
Calendly
Excel
Gmail
OneDrive
Google Drive
Hubspot
Jira
Google Sheets
Microsoft To-Do
Outlook Email
Outlook Calendar
SharePoint
Qdrant
Statista
Dimension 5
Infrastructure
Three BSI-certified data centers in Hamburg, Ulm, and Frankfurt. Exclusively under German law, KRITIS option available. NVIDIA GPU infrastructure for maximum model performance — scalable from a single instance to multi-server enterprise operation.
Kubernetes, Docker, end-to-end encryption, ISO 27001 certified. q.beyond operates and monitors — you focus on your AI value creation.
3 locations · Germany
Hamburg · Ulm · Frankfurt — BSI-certified, German law, critical infrastructure option
NVIDIA GPU · Kubernetes
Enterprise GPU Stack · Docker · Automatic Scaling · Central Administration
ISO 27001 · End-to-end
encryption · SLA-secured · 24/7 monitoring by q.beyond Operations
Dedicated VM · No Shared Tenant
Each customer receives their own virtual machine — no shared instance, no tenant mixing
Ready for your Private Enterprise AI platform?
Entry in three stages — from the first instance to enterprise operation.