Smart Cultural Tourism

AI with Cultural Depth

MENGXICHAT combines large language models, authoritative knowledge bases, voice interaction, and business-system integration into an AI platform for museums, scenic spots, galleries, and urban exhibition spaces.

1 Week
Fast launch after venue authorization
Zero Hardware
Mini-program tour guide with low operating cost
9 Capabilities
Core enterprise knowledge-engineering capabilities
Smart Tourism Product Live
Knowledge Base 12.8M Cultural knowledge entries
Voice Query 98.6% Voice interaction availability
Agent Workflow 24/7 Continuous service and traceability

Tour AI

Give Every Visitor an Expert AI Guide

For museums, galleries, gardens, and urban exhibition spaces, MENGXICHAT provides voice-based guided tours through a WeChat mini program. Visitors can ask in-depth questions about exhibits, history, and routes without renting devices or booking human guides in advance.

01

Conversational AI Guide

Supports speech recognition and voice playback for one-on-one explanations around each visitor's question.

02

Authoritative Knowledge Base

Trains models on a dedicated authoritative museum knowledge base, deeply absorbing collection history, artifact stories, exhibition guide standards, and professional museum knowledge.

03

Multilingual and Personalized Experience

Provides multilingual processing for visitors from different countries and analyzes visitor preferences to deliver personalized content.

Scenarios

Covering Core Cultural Tourism Scenarios

Zhongshan Museum smart tour scenario

Museums

Explains permanent exhibitions, special exhibitions, artifact backgrounds, and historical context.

Gallery smart tour scenario

Galleries

Interprets creative background, techniques, schools, and composition for deeper artwork questions.

Garden culture smart tour scenario

Gardens

Connects architecture, plants, poetry, historical allusions, and landscape design into a richer tour experience.

Enterprise AI knowledge engineering capability
Data Access Knowledge Graph Model Tuning Agent Collaboration

Enterprise AI

Bring Enterprise Knowledge into Real Workflows

Enterprise documents are scattered, tacit knowledge is hard to inherit, and expert experience is hard to replicate. MENGXICHAT provides an enterprise knowledge-engineering platform that unifies multimodal data and builds searchable, traceable, orchestrated AI workflows.

90% Enterprise documents remain underused
<70% Traditional retrieval accuracy falls short
3-5 Years Long expert training cycles

Technical Team

An AI Engineering Team Led by University Technical Strength

MENGXICHAT's technical innovation is supported by the team from the School of Mathematics and Statistics at Xi'an Jiaotong University. The team brings together specialists in large models, optimization algorithms, natural language processing, machine vision, industrial control, and scheduling, combining research depth with years of practical experience.

Interdisciplinary Research, algorithms, engineering, and product delivery
Multidisciplinary Mathematics, statistics, automation, big data, and intelligent systems
Deployable Closed-loop delivery from knowledge building and model optimization to system integration
Xi’an Jiaotong University campus

Platform

Complete Capabilities from Data to Agents

Data

Multimodal Enterprise Data Access

Unifies documents, images, audio, video, and business-system data as the foundation for knowledge engineering.

Knowledge

Collaborative Knowledge Graphs

Turns professional materials, business rules, and tacit experience into searchable and updatable knowledge networks.

Model

Model Tuning and Quality Control

Supports training-data generation, quality control, model tuning, and performance optimization for professional accuracy.

Agent

Low-Code Workflow Orchestration

Moves AI from Q&A to execution through visual workflows, open APIs, and business-system integration.

Implementation

Implementation Path for Partners

  1. 1

    Data Preparation

    Partners provide images, text, videos, and related digital materials for attractions, artifacts, and artworks.

  2. 2

    Knowledge Building

    Materials are cleaned, structured, built into knowledge bases, and validated through Q&A.

  3. 3

    Launch and Promotion

    Reach visitors through entrance boards, product displays, ticket QR codes, or enterprise portals.

Implementation Scenarios

Validated Implementation Scenarios

Zhongshan Museum implementation scenario

Zhongshan Zhan's Garden

Garden-culture tours and visitor experience improvement.

Dushanzi Grand Canyon cooperation scenario

Dushanzi Grand Canyon

Natural scenic interpretation and route services.

Hismoon Gallery implementation scenario

Hismoon Gallery

In-depth artwork interpretation and interactive Q&A.

Zhongshan Museum cooperation scenario

Zhongshan Museum

Historical artifact knowledge bases and professional guide capability.

Jinan Centre Pompidou implementation scenario

Jinan Centre Pompidou

Intelligent exhibition content and multilingual services.

INK Studio cooperation scenario

INK Studio

Knowledge assets for artists, artworks, and schools.

Contact

Deep Industry Focus, Intelligent Solutions Powered by Cognitive Computing

Designed for museums, scenic spots, galleries, city tourism operators, and organizations building enterprise knowledge-engineering platforms. Start with one venue, one exhibition, or one business knowledge base.