Secure AI Inference in Raleigh, NC

Private AI InferenceThat Never Leaves Your Network

Deploy on-premises, air-gapped AI inference infrastructure for HIPAA, CMMC, ITAR, and data sovereignty compliance. Run state-of-the-art LLMs and custom AI workloads entirely in-house with zero-trust architecture, no vendor lock-in, and no cloud dependencies.

CMMC Registered Practitioner Org|BBB A+ Since 2003|23+ Years Experience
What We Deliver

Secure AI Inference Services

100% Data Sovereignty

Your data never leaves your network. No third-party cloud, no external APIs, no shared tenancy. Every inference request runs locally.

Compliance-First Architecture

Purpose-built for HIPAA, CMMC 2.0, ITAR, GDPR, and NIST 800-171 with zero-trust network architecture and audit logging.

Production-Grade Performance

Optimized inference pipelines with quantization, continuous batching, and tensor parallelism for cloud-competitive latency.

Predictable Cost Structure

Fixed infrastructure costs with unlimited usage. Eliminates per-token pricing and API usage spikes.

Who This Is For

Built For

Healthcare Systems (HIPAA) Defense Contractors (CMMC/ITAR) State Government Agencies Research Institutions Financial Services (PCI DSS)
FAQ

Frequently Asked Questions

What models can you deploy for private inference?

Llama 3.1, Mistral, Qwen 2.5, Phi, and custom fine-tuned models. We benchmark against your specific use case before recommending.

Can you deploy air-gapped inference?

Yes. Physically isolated compute environments with no network connectivity. Model updates arrive via secure media transfer protocols.

What performance can we expect?

Sub-100ms latency for most inference workloads on optimized infrastructure. We benchmark and tune until your deployment meets production SLAs.

How do we get started?

Call 919-601-1601 or schedule a consultation to discuss your secure inference requirements.

Get Started

Ready for Private AI Inference?

Schedule a consultation to design on-premises AI inference that meets your compliance, sovereignty, and performance requirements.