Centered on AI AMAZE, the company has developed a suite of AI Agent products tailored to various industries. It offers a one-stop, no-code AI service platform that enables enterprises to quickly build their own AI agents without requiring technical expertise.

The platform supports multiple devices and over 10 languages, delivers responses in as fast as 1.5 seconds, and integrates multimodal interactions—including voice, text, and images—to create more human-like, intelligent customer service and guided experience solutions.

MaiGPT Enterprise AI Assistant Platform:
Provides an enterprise-grade GPT for internal company use, supporting multi-model switching, single sign-on (SSO), access control, usage analytics, knowledge-base Q&A, document analysis, content generation, and multi-channel deployment. It helps employees use AI safely and efficiently within the organization.
AI KM Enterprise Knowledge Management System:
Helps enterprises transform PDFs, Word files, Excel spreadsheets, PPTs, webpages, SOPs, FAQs, product manuals, and internal documents into searchable, citable, and permission-controlled AI knowledge bases. It supports RAG retrieval, source citation, knowledge classification, document version control, and access management.
Agent Development Platform:
Provides a low-code environment for building customized AI agents, supporting prompt configuration, knowledge-base integration, tool calling, API integration, Text-to-SQL, workflow design, and testing/validation. It can be applied to customer service, internal assistants, data querying, process automation, and industry-specific scenarios.
Multi-Channel AI Conversational Services:
Helps enterprises deploy AI agents across multiple channels, including websites, LINE, WhatsApp, Messenger, Instagram, Telegram, Microsoft Teams, and APIs. This enables organizations to integrate AI into existing customer service and internal collaboration workflows.
Text-to-SQL / Data Query Agents:
Enables enterprises to connect databases with AI agents, allowing users to query reports, orders, inventory, operational data, and other structured datasets using natural language, reducing reliance on engineering or data teams.