General Informatics Logo General Informatics
Assess your initiative
AI Engineering

Self-hosted AI and private LLMs for sensitive data and controlled operations

Not every AI workload belongs entirely in a public cloud. GI evaluates when self-hosting, private endpoints or hybrid model routing make technical and economic sense.

Production-first · open standards · auditability · operations
Assess the project technically →AI engineering overview
What a production approach must deliver
  • Compare deployment options by data class, quality and cost
  • Connect private LLMs, RAG and internal knowledge safely
  • Control routing across local, private and external models
  • Plan evaluation, monitoring, updates and recovery
Related search and project terms
self-hosted AIprivate LLMon-premise AIon-premise LLMRAG private dataAI model routing
AI Engineering
AI agency & AI engineering partner for production systems→AI agent development that remains controllable in production→Agentic AI development for autonomous but controlled workflows→MCP server development for secure agent and tool integration→AI automation for mid-market companies and production teams→AI governance, audit trails and human oversight for agents→AI agency, freelancer or in-house team: which model fits when?→Agentic AI or classic workflow automation?→MCP or direct API integration: which interface should you use?→