BOTS THAT ACTUALLY KNOW YOUR BUSINESS.

AI chatbots built on Retrieval-Augmented Generation (RAG) are conversational assistants that answer questions by retrieving relevant passages from a defined knowledge base, such as company PDFs, Notion pages, Confluence wikis, product catalogues, or support ticket histories, rather than relying solely on a general-purpose language model's training data. Sumit Brands designs and deploys RAG chatbots trained on client-supplied content, using foundation models including Claude, GPT-4, or open-source alternatives such as Llama and Mistral. Chatbots can be deployed to websites, Slack, Intercom, WhatsApp, and Microsoft Teams. All vector and document data is hosted in Australia using Supabase, Pinecone, or AWS Sydney infrastructure to satisfy data residency requirements. Each deployment includes an evaluation harness designed to detect and reduce hallucinations, and a 30-day post-launch tuning window during which response accuracy is monitored and the retrieval pipeline is refined.

A generic chatbot will confidently make up your refund policy. A RAG-grounded bot quotes the actual document, with citations, and politely declines when it doesn't know. That's the difference between a liability and a real support agent.

We build, deploy and tune chatbots that retrieve from your real knowledge: PDFs, Notion, Confluence, product catalogues, ticket history. Your bot learns your business, not the open internet.