Private AI Infrastructure & Local LLMs

Your AI models and data run on dedicated, isolated infrastructure. Unlike shared AI services, your business data never trains other companies' models or mixes with other clients.

It's essential for businesses with sensitive data (healthcare, legal, finance), proprietary processes, or competitive advantages they need to protect. Public AI services expose your data.

Public AI services use your inputs to improve their models and may expose sensitive business information. Private infrastructure keeps all your data, prompts, and outputs completely isolated and secure.

Yes. We provide dedicated infrastructure with full audit trails, encryption at rest and in transit, access controls, and compliance documentation for HIPAA, SOC 2, and industry-specific regulations.

Document analysis, customer service automation, data extraction, predictive analytics, personalized recommendations, content generation, and custom AI models trained on your proprietary data.

Complete control. You decide what data trains the model, set usage policies, control access permissions, and can modify or delete everything at any time.

Private infrastructure has higher upfront costs ($2k-10k/month) but provides security, customization, and capabilities impossible with public services. ROI comes from protecting competitive advantages.

Yes, but it's harder to retrofit privacy. We recommend starting private if you handle sensitive data. For non-sensitive use cases, public AI with private migration path works well.