SSovAIHub

Products

Practical AI product kits for private, sovereign, and air-gapped AI systems.

SovAIHub products include open-source implementation kits, architecture packs, and deployment references for offline runtime, local LLM RAG, internal artifact supply chains, controlled agents, and production AI governance.

Categories

Choose the right starting point

SovAIHub resources are organized around practical outcomes: understand the architecture, prepare the implementation, operate the system, and govern the AI supply chain.

Free resources

Architecture diagrams, checklists, article companions, starter templates, and public learning assets.

Solution kits

Implementation packs with code, setup guides, deployment files, prompts, and operating instructions.

Enterprise packs

Advanced patterns for air-gapped AI, local LLMs, private RAG, internal artifact hubs, monitoring, and governance workflows.

Consulting offers

Fixed-scope reviews and implementation support for teams that need help moving from architecture to production.

Flagship series

Air-gap AI product line

A phased set of working reference implementations. Start with offline runtime, add local LLM RAG, then introduce an internal artifact hub for offline builds.

Phase 1Offline runtime demo

SovAI Air-Gap AI Starter

A laptop-ready offline runtime demo for sovereign AI patterns: local documents, approved tools, audit logs, and no runtime internet dependency.

Offline bootstrap
Private document retrieval
Approved local tools
Audit log trail
View Phase 1 kit
Phase 2Local LLM RAG kit

SovAI Air-Gap AI Starter v0.2 Ollama

A private RAG workflow using Ollama locally, grounded prompts, cited answers, and audit logging without an external LLM API.

Ollama llama3.2:1b
Grounded answer flow
Citations
Local LLM runtime
View Phase 2 kit
Phase 3Artifact supply chain

SovAI Air-Gap Internal Artifact Hub

A controlled internal artifact hub pattern for local registries, Python wheelhouses, prompt and tool approvals, checksums, and offline builds.

Internal registry
Local wheelhouse
Approval records
Offline build sample
View Phase 3 kit

Roadmap

From offline runtime to governed enterprise platform

The product line is designed as a phased architecture journey, not a set of disconnected demos.

Phase 1

Offline Runtime

Prepare connected. Run disconnected.

Phase 2

Local LLM RAG

Retrieve local evidence and generate with a local model.

Phase 3

Internal Artifact Hub

Build new apps from approved internal artifacts.

Phase 4

Offline Build Factory

Generate new RAG, ML, and agent apps from governed templates.

Phase 5

Enterprise Governed Platform

Add RBAC, scanning, signing, observability, and promotion workflows.

Comparison

Which kit should you start with?

Use the comparison below to pick the right implementation kit for your current objective.

Kit
Phase
Purpose
Best for
Air-Gap AI Starter
Phase 1
Prove offline runtime
Showing an app can run after internet is disconnected
Air-Gap AI Starter v0.2 Ollama
Phase 2
Prove local LLM RAG
Showing private RAG with local Ollama model inference
Internal Artifact Hub
Phase 3
Prove internal artifact supply
Building new apps from approved images and Python packages

Start with Phase 1

Use this if you want to prove offline runtime, approved tools, local documents, and audit logging first.

Move to Phase 2

Use this if you want a local LLM RAG demo using Ollama, grounded prompts, and cited answers.

Adopt Phase 3

Use this if you want an internal artifact hub for base images, Python wheels, prompts, tools, approvals, and offline builds.

Catalog

SovAIHub product catalog

Explore architecture packs, implementation kits, and deployment resources for private and governed AI systems.

Open Source KitOpen Source

SovAI Air-Gap AI Starter

Open-source laptop-ready starter kit for demonstrating an air-gap-ready sovereign AI runtime with local documents, approved tools, offline Docker bootstrap, and audit logs.

Price
Free
Difficulty
beginner
Deployment
Docker Desktop / offline runtime
Open GitHub Repo
Local LLM RAG KitOpen Source

SovAI Air-Gap AI Starter v0.2 with Ollama

Open-source local LLM RAG starter that runs private retrieval, grounded prompting, Ollama inference, citations, and audit logging without an external LLM API.

Price
Free
Difficulty
intermediate
Deployment
Docker Desktop / Ollama
Open GitHub Repo
Artifact HubOpen Source

SovAI Air-Gap Internal Artifact Hub

Open-source reference implementation for a controlled internal AI artifact supply chain with local registry, wheelhouse, prompt/tool manifests, approvals, and offline builds.

Price
Free
Difficulty
advanced
Deployment
Internal registry / wheelhouse / Docker
Open GitHub Repo
Architecture PackFree

SovAI Architecture Pack

Sovereign AI, RAG, agent, and governance architecture templates for planning private AI systems.

Price
Free
Difficulty
beginner
Deployment
Architecture templates
Download Free Pack
Coming Soon
RAG KitComing Soon

SovAI Private RAG Kit

A deployable private ChatGPT-like solution pattern for company documents, retrieval, citations, and monitoring.

Price
Coming Soon
Difficulty
intermediate
Deployment
Docker / Kubernetes
Coming Soon
Coming Soon
Deployment PackComing Soon

SovAI OpenShift AI Deployment Pack

Kubernetes and OpenShift manifests, routes, PVC patterns, secrets layout, and deployment guidance for AI systems.

Price
Coming Soon
Difficulty
advanced
Deployment
OpenShift / Kubernetes
Coming Soon
Coming Soon
Governance ModuleComing Soon

SovAI Hallucination Guard

Similarity-based and LLM-based answer validation patterns for grounded enterprise RAG systems.

Price
Coming Soon
Difficulty
intermediate
Deployment
RAG validation module
Coming Soon

How these kits fit together

The product is the controlled AI delivery pattern

The individual kits are useful on their own, but the stronger story is how they combine into a sovereign AI delivery model.

Offline runtime

Package the application while connected, then run with local documents, approved tools, and audit logs after internet is disconnected.

Local LLM RAG

Retrieve local evidence, build a grounded prompt, generate with a local Ollama model, return citations, and log the response.

Internal artifact supply

Use an internal registry and local wheelhouse so new applications can be built from approved artifacts instead of direct internet pulls.

Offers

Implementation support

For teams that need hands-on help, SovAIHub offers focused support around architecture review, private RAG implementation, air-gap readiness, deployment planning, and AI governance.

Service

AI Architecture Review

Review a team's RAG, agent, cloud, data, artifact supply chain, or monitoring architecture and provide improvement recommendations.

Service

Private RAG Implementation Sprint

Help build a controlled document assistant with ingestion, retrieval, local or cloud model integration, citations, and deployment guidance.

Service

Air-Gap AI Readiness Review

Assess whether a team can run and build AI workloads without direct internet access using internal images, packages, models, and tools.

Kit

Hallucination Guard Pack

A practical validation layer using retrieval confidence, source checks, response review, and LLM-based revalidation patterns.

Contact

Need a custom AI solution kit or implementation plan?

Use the contact page to request a private RAG kit, architecture review, air-gap readiness review, OpenShift deployment pack, or AI governance implementation plan.

Enterprise-ready direction

Plan a focused private AI implementation.

Share your use case, data environment, deployment constraints, and governance needs to identify a practical implementation path.

Contact SovAIHub