Why Private LLMs?

Every time I talk to U.S. companies about Private LLMs, the same questions keep coming up…

Here are the questions I hear most often

Why use Private LLMs vs OpenAI APIs?

To keep sensitive data in-house + customize for your domain.

Aren't they too expensive?

Not if you use smaller, domain-focused models with efficient fine-tuning.

How do we ensure compliance (HIPAA, SOC2, GDPR)?

Deploy on-premise/private cloud + encrypt + use federated learning.

What about long / inaccurate answers?

Retrieval-Augmented Generation (RAG) makes them fact-based and concise.

Can non-tech teams use them?

Yes. With simple UIs, templates, and guided workflows.

What about sustainability?

Smaller, optimized models = greener AI.

Private LLMs aren't just "big models." They're about privacy, precision, and practicality - when built the right way.

What's the #1 concern your company would have before moving to a Private LLM?