Frequently Asked Questions

Sovereign AI refers to private, local-silicon deployments where your data never leaves your infrastructure. Unlike public cloud AI, a sovereign system ensures that your intellectual property and sensitive technical data are never used for model training or stored in public vector indexes.

We architect deployments on private cloud nodes or on-premise hardware. This "Iron Box" approach provides air-gapped security for high-value intellectual property, specifically designed for engineering, financial, and legal firms with strict data residency requirements.

Absolutely not. Our Enterprise RAG architecture is zero-training by design. We provide a legal guarantee that your data is used only for retrieval-augmented generation within your private instance. Your technical expertise remains your proprietary advantage.

Oxaide uses proprietary vector indexing protocols to parse complex technical documentation, blueprints, and internal wikis. Our retrieval system is optimized for high-precision extraction, ensuring that engineers get accurate answers from thousands of pages of technical specifications.

Our systems are designed to eliminate information latency in global operations. By providing instant retrieval of institutional knowledge across time zones, we reduce the burden on subject matter experts and prevent "knowledge silos" within technical teams.

We integrate with enterprise storage systems, internal Git repositories, and document management systems. Our RAG engine acts as a secure retrieval layer on top of your existing technical information architecture with strict access controls.

We are PDPA and GDPR compliant with enterprise-grade security practices. Our infrastructure runs on Cloudflare and Microsoft Azure, both of which maintain SOC 2 and ISO 27001 certifications. We provide detailed security documentation for enterprise clients.

Our retrieval system respects your internal permission structures. Users can only retrieve information they are authorized to access, preventing internal data leaks and sensitive document exposure.