AI-Powered Assistant & Conversational Intelligence Platform
Designed to help organizations enhance customer engagement, automate communications, and provide intelligent access to organizational knowledge through natural, context-aware interactions.
Built on advanced Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) technologies, KATA enables organizations to deploy intelligent assistants that can answer questions, retrieve information, support users, and streamline business processes — while maintaining control over proprietary knowledge and data.
Customer-Facing Assistant
Digital Receptionist
Knowledge Companion
Employee Support Assistant
Operational Intelligence Tool
Tiers
Lite
For small businesses and teams seeking a fast, effective entry into conversational AI.
  • AI-powered conversational assistant
  • Website, WhatsApp & Telegram deployment
  • Knowledge base support
  • Standard administration portal
  • Basic analytics and reporting
Pro
For organizations requiring enhanced intelligence, broader knowledge capabilities, and greater operational flexibility.
  • Everything in Lite
  • Advanced Retrieval-Augmented Generation (RAG)
  • Multiple knowledge sources and repositories
  • Enhanced analytics and reporting
  • Team and user management
  • Custom branding and configuration
  • Expanded deployment and integration capabilities
Max
For enterprises, government agencies, and organizations requiring advanced AI, deep integrations, and operational scalability.
  • Everything in Pro
  • Enterprise-grade RAG and knowledge management
  • CRM and ERP integration
  • API connectivity and extensibility
  • Advanced workflow automation
  • Agentic AI capabilities
  • Enterprise governance and security controls
  • Flexible deployment architectures
Tailored Deployments
The capabilities listed above represent the standard baseline for each edition. Depending on operational requirements, KATA can be configured with additional integrations, deployment architectures, knowledge sources, AI workflows, governance controls, and business-specific capabilities. Final scope, architecture, and feature sets are determined based on the organization's objectives, technical environment, and implementation requirements.