Deploy high-performance, enterprise-grade LLMs on your own secure infrastructure.
Zero data leaks. Zero unpredictable API bills. Total control.
Building enterprise AI workflows on public cloud APIs means accepting three risks most organizations only discover after it's too late.
Every prompt sent outside your firewall is a compliance exposure and a potential intellectual property leak. HIPAA, SOC 2, and GDPR don't care that your vendor has a privacy policy.
Cloud API costs scale exponentially with usage. What's affordable at 1,000 requests becomes a terrifying operational tax at 1,000,000. Your AI budget should not be a variable you can't control.
You are at the mercy of third-party model deprecations, unannounced price hikes, and changing data retention policies. Any of these can break your production workflows overnight.
We design, deploy, and support enterprise-grade self-hosted LLM infrastructure — tailored to your business logic, running entirely within your physical perimeter.
Your proprietary data, customer records, and internal knowledge bases never leave your building. Achieve total compliance without sacrificing AI capability. AES-256 encryption at rest and in flight, always.
Shift your AI budget from an unpredictable monthly variable expense to a predictable, depreciable capital asset. Your cost stays flat — no matter how fast your inference volume grows.
Hardware and quantization optimized specifically for your workflows — whether powering internal tooling or deploying complex multi-step agentic AI pipelines. No shared inference queues.
Text & document analysis, image recognition, OCR, audio transcription, and code generation — all running privately. Integrates with Microsoft 365, Google Workspace, CRMs, and existing databases.
We audit your current AI usage, data compliance requirements, and workload volume to design the exact hardware stack and model configuration you need — nothing over-provisioned, nothing under-built.
Our team handles full orchestration, hardware optimization, and local model deployment — integrating safely with your existing internal CRMs, ERPs, ticketing systems, and databases.
We train your DevOps team on local weights management, quantization techniques, and fine-tuning practices — so your organization fully owns its AI independence long after deployment.
Every configuration includes delivery, installation, model deployment, and a DevOps handoff. No hidden integration fees.
Moving our LLM workloads on-premise completely changed our product roadmap. We eliminated our data leak anxieties overnight, and our infrastructure costs dropped to a flat, predictable baseline.
CommPath has been designing and deploying business infrastructure since 1995. We know how to integrate new technology into complex existing environments without disruption.
Fully licensed for low-voltage and systems integration in NY, NJ, and FL. Every deployment is backed by CommPath's insurance, licensing, and cybersecurity compliance standards.
We are not a reseller for any one AI vendor. We deploy whichever model family best fits your workload — Meta, Anthropic, OpenAI, Microsoft, or open-source alternatives.
AES-256 encryption, role-based access control, full audit logging, and zero cloud dependency are standard on every Solarium deployment — not optional add-ons.
The Solarium also serves as the local AI brain for Solaria humanoid robot and tele-operation deployments — a single vendor, a single stack, one managed SLA.
Most organizations recover their hardware investment within 18 months on API savings alone — before factoring in compliance risk reduction and internal productivity gains.
Don't wait for an API price hike or a data compliance breach. Let's look at the math together and map out your transition to secure, self-hosted AI.
A Solaria engineer will review your current AI usage, model requirements, and compliance landscape — and deliver a custom on-premises architecture blueprint at no cost.