Conversational AI Chatbots and Intelligent Business Agents
We design context-aware, memory-enabled AI chatbots powered by Retrieval-Augmented Generation (RAG) and vector databases, connecting them natively with WhatsApp, web UIs, and corporate databases.
What You Get
- Intelligent conversational assistants, chat UI modules, and widget layouts
- Vector store scripts, data chunking configurations, and embedding pipelines
- Compliance templates, prompt guardrails, and message sanitization layers
- API connection middleware and CRM webhook integration codes
Why It Works
- Context-grounded RAG architectures connected to secure vector databases
- Session memory databases ensuring chatbot retains conversation context
- LINE, KakaoTalk, and WhatsApp Business API integrations for global reach
- Granular tool calling permissions executing actions like updating CRM logs
Execution Methodology
A structured, transparent engineering process ensuring precision from blueprint to production deployment.
Knowledge Base Processing
We segment unstructured data documents and compile high-dimensional vector representations.
Agent Prompting & Memory Design
We script system instructions, establish safety constraints, and coordinate memory caches.
Omnichannel Gateway Setup
We connect conversational bots to WhatsApp, KakaoTalk, web interfaces, or Slack channels.
API Webhook Sync
We link chatbots with your CRM and databases to execute automated transactional actions.
Need a custom engagement model?
We support dedicated squads, fixed-scope delivery, and hybrid team extension based on your product stage.
Speak with our solution architects