
zenpAI provides an on-premise AI appliance that combines hardware, local models, and agent orchestration into a single system for deployment within a company's own infrastructure. The solution is designed to meet strict German data protection and compliance requirements by keeping all data within the corporate environment. A dedicated agent layer manages the orchestration of AI workflows while enforcing detailed local logging and audit trails for full operational transparency.
Funding
Funding not disclosed
Founders
Product
Problem
Companies face significant risks when using public AI APIs, including foreign jurisdiction, uncertain contract terms, and lack of control over their proprietary data and training information. At the same time, integrating AI hardware and software into a regulated production environment is complex, as most AI software is designed for the cloud, not for on-premise racks that must comply with standards like DSGVO and BSI-Grundschutz.
Solution
zenpAI offers an on-premise AI appliance that combines hardware, local models, and agent orchestration into a single, integrated system that runs entirely within the customer's infrastructure. This approach eliminates external dependencies and cloud connections, ensuring full data sovereignty and compliance with strict regulations. The system's agent layer acts as an orchestrator, directing tasks between models, tools, and specialized agents while preserving context and connecting internal systems. An embedded compliance layer logs all accesses, tool calls, and relevant system actions locally, providing defined error paths and traceability for audits. zenpAI takes responsibility beyond the initial roadmap, delivering a running system with maintenance, monitoring, and readable operational documentation.
Target Audience
Primary customers are German and European businesses operating in regulated environments that require strict data control, particularly mid-sized enterprises and organizations handling sensitive data that must meet DSGVO and BSI compliance standards.
Features
- Integrated stack covering hardware, local AI model, and agent orchestration in one system
- Agent layer with RAG capabilities and multi-agent coordination for complex workflows
- Local logging of accesses, tool calls, and system actions with defined error paths
- Fully on-premise data processing with no external interfaces or cloud dependencies
- Designed to comply with DSGVO and BSI-Grundschutz requirements
- Includes ongoing maintenance, monitoring, and comprehensive operational documentation