Private AI & Secure LLM Deployment

Private AI & Secure LLM Deployment

AI Configured Around Your Data and Control Requirements

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Setup from $7,500 · Hosting & management from $1,200/month

Engagement journey

Where this service fits

Deploy AI within agreed data, provider, access, and review boundaries. You can enter at any stage; move forward only when the evidence, scope, and operating readiness support it.

Is This For You?

When your team sends company information to an external AI service, its handling depends on the provider, account type, settings, and contract. Sensitive product, customer, operational, or strategic data therefore needs an explicit policy and approved processing boundary.

We deploy localized or isolated AI systems that can use approved proprietary data through techniques such as retrieval, fine-tuning, or controlled integrations. The architecture can keep sensitive processing within your environment and limit external data flows according to your requirements.

  • Your team uses ChatGPT, Copilot, or other public AI tools and you're not sure where that data ends up.
  • You work with sensitive information—client data, financials, IP, or trade secrets—and need tighter controls over where it is processed.
  • You want AI that understands your specific business, products, and processes—not a one-size-fits-all chatbot.
  • You're in a regulated industry (finance, healthcare, legal) and need evidence, controls, and auditability to support compliance work.
  • You've seen what AI can do and want those benefits—but on your terms, with your data staying yours.

How We Help

Private AI Assessment

We review your current AI usage and data exposure, then design a deployment strategy intended to reduce unnecessary data and operational risk.

Custom Model Training & Fine-Tuning

We use approved proprietary data—such as internal documents, product knowledge, or customer interactions—to ground, fine-tune, or retrieve context for domain-specific tasks.

Secure, Isolated Infrastructure

We can deploy AI on-premise or in a dedicated cloud and configure data flows to remain within approved boundaries, with encryption, access controls, logging, and audit trails defined for the engagement.

Ongoing Management & Evolution

As requirements evolve, we can update models or knowledge sources, expand capabilities, and monitor security and performance against agreed controls.

Related Reading

Our Work

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Tell us what is at stake

Tell us the workflow, decision, or data constraint behind the project. We will review it and suggest the most sensible next step: audit, prototype, or implementation.

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