NeuraBOT SLM-Based Generative Chatbot
Deploy a Domain-Tuned Generative Chatbot on Private Knowledge - SLM with RAG grounding delivers natural, cited, multi-turn answers on institutional knowledge, covering long-tail queries cost-efficiently with full on-prem data sovereignty.
Everything you need to deliver generative, knowledge-grounded conversational AI on sovereign infrastructure without large-LLM costs
Domain-Tuned SLM with RAG - Small Language Model fine-tuned on institutional domain and grounded via RAG on private knowledge base for accurate answers
Natural Multi-Turn Conversation - Handles context-aware, multi-turn dialogues enabling users to ask follow-up questions naturally without context loss
Guardrails & Source Citations - Generates guarded responses with cited source references, ensuring transparency and preventing hallucination
On-Prem / Edge Deployment - Runs fully on-premise or at edge on a GPU node, keeping all data within institutional infrastructure for sovereignty
Low Inference Cost - SLM architecture delivers generative conversational AI at significantly lower GPU and compute cost than large language models
Analytics & Feedback Loop - Captures query patterns, user ratings and model performance, feeding a continuous improvement loop for the SLM
