Custom AI solutions are AI systems designed around a company’s own data, workflows, business rules, and operational goals. They can include document processing, prediction models, decision support systems, AI assistants, workflow automation, knowledge search, anomaly detection, and enterprise system integrations. Unlike generic AI tools, custom AI is built to fit real business processes. It can connect with ERP, CRM, databases, internal portals, APIs, approval workflows, and reporting systems.

A custom LLM solution is a language model based system designed for a specific business use case. It can use internal documents, policies, product data, process knowledge, and structured business information to generate useful responses, summaries, recommendations, or workflow actions. Most enterprise LLM systems use a combination of retrieval augmented generation, prompt design, access controls, evaluation, and integration with internal systems. Fine-tuning may be used when the use case requires domain-specific behavior or consistent output patterns.

Yes. Encriss builds private and enterprise LLM solutions with secure access, controlled data usage, workflow integration, role-based permissions, and deployment models designed for business environments. Private LLM solutions are useful when teams need AI capabilities without exposing sensitive business data to unmanaged tools or disconnected public interfaces.

RAG stands for retrieval augmented generation. It allows an AI system to retrieve relevant information from approved business sources before generating an answer. This makes responses more grounded in company data and reduces the risk of generic or unsupported outputs. RAG is useful for knowledge management, policy search, document Q&A, customer support, internal helpdesks, compliance support, and decision workflows where answers must come from controlled business information.