Private AI for the
World's Most Sensitive Data
Engineered for privacy. Designed for trust.

What will SecureLocal AI do?
SecureLocal AI delivers cutting-edge, offline LLM infrastructure for enterprises in regulated industries. Our platform enables dynamic knowledge graphs, secure internal document search, fast local inference, privacy-preserving RAG, and semantic mapping for zero-leakage Q&A—all without cloud dependencies.
Dynamic Knowledge Graphs
Build and maintain dynamic knowledge graphs from your local data, enabling powerful insights and connections without exposing sensitive information.
Privacy-Preserving RAG
Leverage Retrieval-Augmented Generation (RAG) with zero data leakage, ensuring your enterprise data remains secure while enabling powerful Q&A capabilities.
Why are we building this?
Traditional AI solutions compromise your data security and compliance requirements.
Data Privacy Risks
Cloud-based AI requires sending sensitive data to external servers, creating potential security vulnerabilities.
Compliance Issues
Industry regulations often prohibit data transfer to external services, limiting AI adoption.
Performance Limitations
Network-dependent AI solutions can be slow and unreliable when processing sensitive data.
Who is SecureLocal AI for?
Tailored offline AI for Law, Biotech, and Defense.
Law Firms & Legal Teams
Secure document analysis and legal research with complete client confidentiality.
Biotech & Healthcare
Process sensitive research data and run complex biological models without compromising intellectual property or patient privacy.
Defense & Security
Deploy AI models in secure, air-gapped environments. Process classified data with zero external connectivity.
Be part of the founding user group
Your feedback will directly shape SecureLocal AI. Join the waitlist and help us build the future of private, compliant AI.