Air-Gapped Generative AI for Texas Enterprises.

The Compliance Gap

Enterprise clients across regulated sectors cannot send proprietary IP, internal documents, or sensitive data to public API endpoints like OpenAI or AWS Bedrock without violating strict compliance and data sovereignty protocols.

The On-Premise Solution

We act as your silent technical backend. Your MSP provides the local workstation hardware and maintains the client relationship. We provide the remote deployment of enterprise-grade AI infrastructure that runs locally on your client's hardware, ensuring absolute IP protection and total compliance.

Architectural Capabilities

• ▸ Model-Agnostic Open-Weight Deployment: Capability to deploy, quantize, and orchestrate any open-weight model from secure, validated open-source registries. While we specialize in enterprise-trusted architectures like Llama 3.1 (Meta), Mistral (EU), and Phi-3 (Microsoft), our inference engine stack can be adapted to any specific model required by your client's compliance, latency, or domain-specific needs.
• ▸ Local Inference Engines: Orchestrating high-throughput, multi-GPU environments using vLLM and SGLang with native Tensor Parallelism.
• ▸ Hardware Optimization: Maximizing GPU VRAM efficiency via AWQ, GPTQ, and FP8 quantization to prevent Out-Of-Memory (OOM) crashes on local hardware.
• ▸ Private RAG Integration: Bridging local LLMs to private vector databases (like Qdrant or Milvus) to allow clients to chat securely with their own internal enterprise documents.

The Division of Labor