On-premise Sovereign AI
Network-Air-Gapped Ready

On-premise Sovereign AI
Non-negotiable Security

The central nervous system for organizations where data sovereignty is absolute. Own your intelligence, secure your future, and eliminate vendor lock-in.

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Core Value Pillars

Absolute Sovereignty by Design

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Network Isolated

Engineered to function in total air-gap environments with zero connection to the public internet. Absolute privacy for your most sensitive operations.

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Sovereign RAG System

An autonomous knowledge factory that transforms fragmented data into high-fidelity intelligence via secure, citation-backed Agentic RAG.

Technical Architecture

The Five-Layer Sovereign Stack

Presentation Layer

Unified Command Center for human-AI collaboration. Featuring Open WebUI, LibreChat, and native IDE Plugins for seamless dev-to-production workflows.

Governance Layer

Deterministic security using Policy-as-Code (OPA) and Immutable Identity-Aware Auditing. Non-negotiable data sovereignty and compliance enforcement.

Orchestration Layer

Cognitive "nervous system" managing Agentic Reasoning and Industrial AIoT Bridging—integrating real-time telemetry into decision loops.

Data Layer

Sovereign knowledge base with Air-Gapped RAG, secure Vector Stores, and a private object repository with semantic consistency checking.

Infrastructure Layer

Self-hosted hardware-agnostic foundation. Optimized for NVIDIA TensorRT / Apple MLX for server-grade inference on Edge and Air-Gap nodes.

Chat, Web, and Developer Tools
Enforces Policies, Identity Controls, and Immutable Auditing
Manages Agent Reasoning and Integrates Data into Decisions
Air‑gapped Retrieval and Protected Vector Stores
Hardware‑flexible Self‑hosted Foundation

Strategic Use Cases

Engineered for the High-Trust Enterprise

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Gov & Public Sector

Automated zoning, legislative analysis, and public record synthesis with pixel-perfect citations.

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Healthcare Systems

De-identified clinical inference and administrative automation without PHI ever leaving your network.

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Physical AI & Industrial

Cognitive layers for physical assets, edge robotics, and real-time analytics in resource sectors.

Leadership Team

The Minds Behind OmniNStack

June Hong

Chief of Technology Officer, Co-founder

A seasoned Software Architect and Technical Leader with over 20 years of experience spanning embedded systems, cloud-native platforms, and AI-driven cyber-physical systems. June leads the technical vision for OmniNStack, drawing on a track record of architecting mission-critical systems for global technology leaders such as Samsung, NTT, and NEC. His work focuses on bridging advanced software orchestration with Edge and Physical AI, enabling Large Language Models (LLMs) to function as cognitive layers for physical assets.

Hyunseung Lee

Principal Software Engineer & AI Scientist, Co-founder

A cross-disciplinary engineer specializing in the integration of advanced software orchestration with next-generation Physical AI hardware. Hyunseung specializes in building production-grade On-premise Sovereign AI stacks using LangGraph, Retrieval-Augmented Generation (RAG), and LangChain—positioning OmniNStack as a robust, infrastructure-agnostic operating system for high-trust enterprise environments.

Joseph S. Yu

Ph.D., Principal Hardware Engineer & Physical AI Architect, Co-founder

An AI Architect with strategic expertise across the South Korea–North America technology corridor. Joseph plays a key role in positioning OmniNStack as a gateway in the On-premise Sovereign AI landscape, leveraging deep insight into regional innovation ecosystems to drive cross-border collaboration, technology alignment, and market expansion.

Intelligence is most powerful when it is owned.

OmniNStack is the Platform of Last Resort for data security—a sanctuary where organizational autonomy is guaranteed.

Contact Our Solutions Architects