AI that runs on your hardware. Your data never leaves.
Some businesses can’t send data to the cloud — whether for regulatory reasons, competitive sensitivity, or simple preference. I deploy AI systems that run entirely on hardware you control.
I run this exact architecture myself.
This isn’t a theoretical offering. I built a 12-machine fleet with discrete GPUs, unified API gateway, automatic load balancing, and embedding models for RAG. I use it daily. When I deploy to your environment, I’m replicating a proven system — not experimenting on your infrastructure.
AI systems that run in your building.
🤖 Local LLM Inference
Open-source language models (Llama, Mistral) running on your GPUs. Full natural language understanding without any data leaving your network.
📚 On-Premise RAG
Document Q&A, knowledge bases, and chatbots powered by your own documents. Embedding models + vector search, all running locally.
🔒 Air-Gapped Workflows
AI workflows for sensitive environments that operate with zero internet connectivity. Processing, analysis, and generation — completely offline.
Industries where data can’t leave the building.
🏥 Healthcare & Legal
Patient records, legal documents, and privileged communications that require strict data handling. AI capability without compliance risk.
🏭 Manufacturing & Agriculture
Proprietary processes, formulations, and operational data that represent competitive advantage. Keep your trade secrets on your hardware.
🏛 Municipal Government
Citizen data, internal records, and sensitive government documents processed by AI that runs on government-controlled infrastructure.
Four reasons your data should stay home.
🔒 Data Sovereignty
Your data stays in your building, on your hardware. No third-party cloud provider ever sees it.
💰 No API Costs
Once deployed, inference is free. No per-call metering, no usage bills that scale with volume.
🔓 No Vendor Lock-In
Open-source models mean you own the stack completely. Switch, upgrade, or modify without permission from anyone.
📡 Offline Capable
Systems work even without internet connectivity. Critical for remote sites, secure facilities, or unreliable connections.
This is not a theoretical offering.
I run the same stack on my own infrastructure every day — 12 machines, 8 GPUs, 64GB VRAM, unified LiteLLM gateway with least-busy routing, Ollama instances with flash attention and optimized KV caching, embedding models for RAG. I built it, tested it, broke it, fixed it, and run production workloads on it. When I deploy to your environment, you’re getting a battle-tested architecture, not a proof of concept.
Let’s design your deployment.
Every on-premise deployment starts with understanding your hardware, your data, and your security requirements. Free consultation — no obligations.
Let’s Design Your Deployment →