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Transforming businesses with AI-powered automation for sales, operations, finance, and compliance — all through one intelligent platform.
An AI assistant that understands your business, speaks your language, and works across every function — no training required, just chat.
Answers product questions, and converts leads 24/7 — even at 2 AM.
Tracks inventory, analyze costs and operational tasks — keeping your business running smoothly.
Generates financial summaries, and provides plain-language business performance insights to help you make smarter decisions.
Navigates e-Invoicing (LHDN), and SSM renewals. Keeps your business legally compliant without the confusion.
A look under the hood. Our Advanced Insight Engine uses the RAG pipeline, powered by Gemma 4, to convert your business data into grounded, intelligent actions.
Personalized Customer Experience Layer
Orchestrates the full customer support journey — from CRM data (Zendesk, Salesforce) and company knowledge bases through embedding generation and knowledge graph integration into LLM reasoning and grounded prompt generation. Delivers actionable outputs such as completed forms, reports, and real-time order status via API calling (Google, LHDN) and third-party plugins.
Technical RAG Architecture
Ingests data from document repositories (SharePoint, Google Drive), structured databases, PDFs, and semi-structured sources like emails and chat logs. The knowledge hub preprocesses, tokenises, and indexes content into a Vector DB (PGVector) and MongoDB, enabling semantic search. The LLM performs task planning, grounded prompting via the Gemma 4 AI engine, and chain-of-thought reasoning — delivering outputs through form completion, API integrations (Google, LHDN), and third-party plugins.
Technical RAG Architecture
Processes knowledge sources — SST rules PDFs, LHDN guidelines, and operational manuals — through embedding and indexing into PGVector (semantic chunks) and MongoDB GridFS (chat history and files). User queries from the Rakan Niaga interface trigger semantic search, feeding the Gemma 4 AI engine for reasoning, planning, and task decomposition. The MCP (Model Context Protocol) acts as the universal connector, grounding the AI exclusively on retrieved data and routing outputs to Google & LHDN APIs, forms, docs, and sheets.
AI Rakan Niaga is your central business intelligence hub — trained on Malaysia's key government agencies, banks, and regulators. One chat interface, every answer.