Systemiq

Data Privacy is foundational to Systemiq‘s architecture. We believe that secure, flexible, and adaptive data handling is critical to building responsible AI systems.

All AI problems are data problems. If your data is siloed, unstructured, or not AI-ready, the benefits of AI can’t be realized. That’s why Systemiq uses a multi-layered privacy model to help organizations start securely and scale with confidence.

• On-Premise Middleware: Full control over data privacy with local encryption and obfuscation before data leaves your infrastructure.
• Managed AI with Systemiq: Selectively share only aggregated results—not raw data—with external LLMs for real-time processing, maintaining strong privacy boundaries.
• Private LLM Hosting: Deploy open-source AI models within your own infrastructure for full data sovereignty and compliance.

Whether your data is numerical, classified, or sentiment-based, we work with you to define the right protection strategy—from anonymization to secure local inference.

Secure by Design: Systemiq implements encryption, access control, and stateless AI services to minimize data exposure while maximizing insight.