Private LLM & Local AI Consulting
Some businesses need AI on infrastructure they control. A private LLM assessment helps you decide whether local or self-hosted models fit the work, and what it takes to operate them responsibly.
Talk to me about thisWho it’s for
For organizations handling sensitive internal information, teams evaluating alternatives to public AI services, and businesses exploring on-premises or controlled-environment deployments.
Questions we’ll answer
- Can we use AI without sending prompts to a public model provider?
- What hardware and model quality would our workload require?
- Who will manage access, updates, evaluation, and support?
Deliverables
What you get
Process
How it works
- Step 1
Define what private needs to mean
Map where prompts, documents, logs, backups, and model requests may travel. Agree on a boundary based on actual requirements rather than treating the word private as a guarantee.
- Step 2
Test quality and operating fit
Compare representative workloads against candidate models and hardware. Account for context requirements, latency, capacity, power, licenses, and support effort.
- Step 3
Design for ongoing operation
Plan identity, least-privilege access, logging, patching, model updates, evaluations, and incident response. Self-hosting changes responsibility; it does not remove security work.
Example scenario · illustrative, not a client case
Internal operations department
- The problem
- Staff need help finding answers across internal documents while keeping the model workload inside a defined environment.
- The approach
- Evaluate a self-hosted model and permission-aware retrieval pilot with approved documents and clear source references.
- How we’d measure it
- Test answer accuracy, permission enforcement, latency, maintenance effort, and data flows.
Questions
Common questions
Does a self-hosted model automatically make us secure?
No. Security also depends on identity, access, data handling, logging, updates, testing, and operational ownership.
Can you tell us if private infrastructure is unnecessary?
Yes. A managed service may be a better fit when its capabilities and contractual data controls meet the business requirements.