Private AI Infrastructure
When your organization uses third-party AI services, every query sends data to external servers. You don’t control where that data is stored, who can access it, or how it’s used. For organizations handling protected health information, financial records, legal documents, or trade secrets, that’s not a policy question. It’s an exposure.
Self-hosted AI eliminates that risk. When the AI runs on your own infrastructure, whether on-premises or in a private cloud environment you control, your data never leaves your network. You set the access controls, the retention policies, and the audit trail. There’s no third-party in the loop.
Open-source AI models have closed the gap with commercial offerings significantly over the past two years. Capable models are available today for general reasoning, document analysis, coding assistance, and specialized tasks. They run on your hardware, new models are released on a regular cadence, and you are never locked into a single vendor.
What We Deploy
Infrastructure
The core AI server, configured and optimized for your selected model, your performance requirements, and your expected usage volume.
Document Processing
Automated extraction, classification, and routing for sensitive documents like medical records, contracts, and regulatory filings. No data leaves your environment.
Chat Interfaces
Internal chatbot applications with conversation history, user management, and role-based access controls. Think of it as a private alternative to ChatGPT that runs entirely on your systems.
Coding and Development Tools
AI-assisted development environments that understand your internal codebase and run locally.
Knowledge Bases
Your internal documents, policies, and procedures connected to the AI model so staff can ask questions in plain language and get answers grounded in your organization’s actual documentation.
Monitoring and Audit Logging
Real-time dashboards for system health and usage metrics, plus complete interaction logs for compliance documentation.
How the Engagement Works
We start with your use case and regulatory requirements, not with hardware. Whether your team needs a chatbot for clinical staff, a document processor for claims review, or a general-purpose AI assistant, the use case drives every decision that follows.
Before any infrastructure is purchased, we give your team access to candidate models so they can evaluate performance on real tasks. You see how the AI handles your actual workflows and confirm it meets your needs before committing to anything.
Once a model is selected, we plan the infrastructure. That means matching hardware to your performance requirements, your budget, and your room to grow. Some organizations start with a purpose-built GPU server. Others begin with a smaller deployment for a single team and expand later. We help you find the right entry point.
After the infrastructure is in place, we build the tooling layer: the applications, integrations, and interfaces your team will interact with daily. We document everything and train your staff so the system operates independently.
Ongoing Support
We start with your use case and regulatory requirements, not with hardware. Whether your team needs a chatbot for clinical staff, a document processor for claims review, or a general-purpose AI assistant, the use case drives every decision that follows.
Before any infrastructure is purchased, we give your team access to candidate models so they can evaluate performance on real tasks. You see how the AI handles your actual workflows and confirm it meets your needs before committing to anything.
Once a model is selected, we plan the infrastructure. That means matching hardware to your performance requirements, your budget, and your room to grow. Some organizations start with a purpose-built GPU server. Others begin with a smaller deployment for a single team and expand later. We help you find the right entry point.
After the infrastructure is in place, we build the tooling layer: the applications, integrations, and interfaces your team will interact with daily. We document everything and train your staff so the system operates independently.
Predictable Costs, No Vendor Lock-In
Self-hosted AI runs on fixed infrastructure costs. There are no per-query fees, no usage-based billing surprises, and no scaling API costs as your team adopts the tools more broadly. High-volume use cases become economically viable in a way they often aren’t with commercial AI subscriptions.
And because the system is built on open-source models, you’re not tied to a single provider. As better models are released, they can be swapped in. Your infrastructure, your tooling, and your team’s workflows stay the same.
Not Sure Where to Start?
If your organization hasn’t yet assessed where AI fits or what the risks look like, our AI Readiness and Risk Assessment is designed as the starting point. We’ll help you understand your current state and build a plan before any technology decisions are made.
If you already know your use case and need a specialized tool rather than general-purpose infrastructure, our Custom AI Applications practice builds purpose-built solutions for specific workflows.
Testimonials
Get In Touch
SunHawk Consulting
2550 E Rose Garden Ln.
Unit 72016
Phoenix, AZ 85050
info@sunhawkconsulting.com
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