Industry-Focused AI Agent Customization
We customize specialized agents for government, education, enterprise sales, content production and more industries. Combined with end-to-end data science services and algorithm support from top universities, we help your business truly implement AI, letting agents handle repetitive work while your team focuses on creativity.
Industry Agent Product Line
Specialized Agents for Specific Scenarios
Each industry has unique business logic and pain points. We customize specialized agents for different industries to truly understand and solve industry-specific problems.
Government Service Agent
Pain Points:High inquiry volume, insufficient staff, inconsistent responses, fragmented data
Core Capabilities:
- • 24/7 online Q&A assistant with unified policy consultation using NLP and knowledge graphs
- • Smart inspection: Real-time analysis of video and IoT data to identify risks and generate solutions
- • Policy evaluation: Intelligent policy impact assessment combining data analysis and university research
Expected Results: Response time reduced from minutes to seconds, 95%+ consultation accuracy [To be added: Specific pilot data]
Education & Research Agent
Pain Points:Heavy teacher workload, low literature search efficiency, difficult personalized teaching
Core Capabilities:
- • Full teaching support: Lesson planning, teaching, grading, exam creation and marking
- • Personalized teaching: Dynamic generation of personalized tutoring plans (ensuring data security and anonymization)
- • Research assistant: Literature search, paper writing, data analysis, experimental design, result summary
- • Industry knowledge base: Continuous tracking of cutting-edge research and technical trends
Expected Results: Teacher preparation time reduced by 50%+, personalized tutoring coverage increased 3x [To be added: University pilot results]
Sales & Operations Agent
Pain Points:Scattered leads, delayed follow-up, unclear user profiles, difficult knowledge retention
Core Capabilities:
- • Automated user information collection and multi-dimensional user profiling
- • Personalized sales plan generation and intelligent communication with users
- • Automated follow-up and reminders to ensure no lost sales opportunities
- • Sales review and knowledge retention for continuous strategy optimization
Expected Results: Lead conversion rate increased by 30%+, follow-up response speed increased 5x [To be added: Enterprise implementation ROI data]
Content Production Agent
Pain Points:Low content production efficiency, difficult multi-platform adaptation, slow user interaction response
Core Capabilities:
- • Automatic content generation based on platform characteristics and content style
- • Multi-platform automatic publishing and content distribution management
- • Intelligent reply to comments and messages for enhanced user interaction
- • Iterative content strategy based on feedback data for continuous optimization
Expected Results: Content production efficiency increased 10x, creators' creative time increased to 80%+ [To be added: Content team usage results]
Personal Super Assistant
Pain Points:Complex affairs for high-end individuals, information overload, difficult relationship maintenance
Core Capabilities:
- • Full-dimensional affairs management: Intelligent coordination of personal, work, family, and social relationships
- • Information collection and organization: Automatic filtering of key information and generation of personalized news summaries
- • Decision support: Intelligent decision suggestions based on historical data and preferences
- • Social relationship maintenance: Important date reminders, social event arrangements, gift and greeting customization
Expected Results: Daily task processing efficiency increased 5x, high-value activity time increased to 70%+ [To be added: High-end user feedback]
More Than Just a Chat Interface
Data Science Behind the Agents
The intelligence of agents comes from complete data pipelines and algorithmic capabilities. We not only build chat interfaces but also construct data foundations, knowledge bases, and decision engines for you.
Data Integration & Cleaning
Connect multi-source heterogeneous data (business systems, documents, APIs, etc.), complete data standardization and quality governance, eliminate data silos, and provide reliable knowledge sources for agents.
Knowledge Base Construction & Modeling
Based on industry knowledge and historical data, construct knowledge graphs, vector databases, and business rule libraries, enabling agents to accurately understand business context and make correct decisions.
Visualization & Feedback Loop
Provide real-time visualization of agent interaction data, helping you monitor effectiveness, discover issues, and optimize strategies, forming a continuous iteration loop driven by data.
Data Governance & Security
Establish data lineage, access control, audit logs, and compliance mechanisms, ensuring agents meet regulatory requirements when processing sensitive data and securing data safety.
Data-Driven Agent Delivery Case
Government Agent Project:Integrated 15+ bureau business systems, cleaned and merged 300+ data tables with over 50 million records, built government knowledge graph (100K+ entities and 500K+ relationships), achieving 95%+ intelligent Q&A accuracy.
[To be added: More specific project background, technical architecture, and business value data]
Services provided include:
- ✓ Multi-source data integration and ETL pipeline construction
- ✓ Knowledge graph design and entity extraction
- ✓ Intelligent Q&A model training and optimization
- ✓ Real-time monitoring dashboard and effectiveness evaluation
Deep Industry-Academia Integration
Algorithm & Research Support from Top Universities
We maintain long-term cooperation with Tsinghua University, Renmin University of China, Shandong University, Central South University and other universities, deeply collaborating in algorithm optimization, model evaluation, and scenario research, ensuring agent technology stays at the industry forefront.
Tsinghua University
Collaboration Areas: Dialogue system algorithm optimization, multi-turn dialogue strategy research, large model evaluation system
[To be added: Specific collaboration forms such as joint labs, research projects, paper publications]
Renmin University of China
Collaboration Areas: Government data governance, knowledge graph construction, policy text analysis
[To be added: Typical collaboration projects or research achievements]
Shandong University
Collaboration Areas: Domain knowledge modeling, natural language understanding, agent engineering implementation
[To be added: Collaboration teams and research directions]
Central South University
Collaboration Areas: Industrial scenario agents, complex system modeling, real-time decision algorithms
[To be added: Collaboration projects and application scenarios]
End-to-End AI Implementation Capability
Scenario Analysis
Feasibility Study
PoC Implementation
Effectiveness Evaluation
Algorithm Optimization
Model Fine-tuning
System Integration
Continuous Operations
Agent Fundamentals
Turning AI into Productivity
Agents must understand you and your business. We continuously refine fundamental capabilities like data mining, prompt engineering, and knowledge graphs, ensuring agents are solid and effective across ever-changing scenarios.
- Natural Language Understanding
Deep understanding of user intent, supporting multi-language interaction for natural and smooth conversation experiences.
- Multi-Task Processing
Capable of handling multiple tasks simultaneously, coordinating different systems and services to improve work efficiency.
- Knowledge Learning
Equipped with continuous learning capabilities, learning from historical data and interactions to continuously improve service quality.
- System Integration
Supports seamless integration with existing systems and tools, ensuring business process continuity.
- Intelligent Decision-Making
Based on data analysis and machine learning, providing intelligent decision recommendations and solutions for users.
- Personalized Customization
Providing highly personalized agent solutions based on user needs and business scenarios.
Frequently Asked Questions
Questions You May Have
Do you support on-premise/private deployment?
Yes, we support various deployment modes: public cloud SaaS, private cloud deployment, hybrid cloud architecture, and fully offline private deployment. For industries with strict data security requirements such as government and finance, we recommend private deployment solutions where all data stays within your internal network. [To be added: Specific deployment architecture descriptions and cases]
How do you ensure data security and privacy?
We adopt multi-layered data security strategies: TLS encryption for data transmission, AES-256 encryption for storage, strict access control and audit logs, support for data desensitization and anonymization, regular security assessments and penetration testing. We comply with national information security level protection requirements and can obtain compliance certifications according to your needs. [To be added: Specific security certifications and compliance documents]
How long does it typically take from initial discussion to deployment?
Project timelines vary depending on scenario complexity. Simple intelligent Q&A scenarios (with existing structured knowledge bases) typically take 2-4 weeks from requirement confirmation to PoC deployment; complex scenarios (involving multi-system integration and large-scale data cleaning and modeling) usually require 2-6 months. We provide detailed project plans and milestones after initial discussions. [To be added: Timeline cases for typical projects]
What data and support do clients need to provide?
We need you to provide: Business background and scenario descriptions, existing data asset inventory (databases, documents, APIs, etc.), business rules and process documentation, interfaces and permissions for related systems, business expert cooperation (for knowledge validation and testing). We provide detailed data requirement checklists at project kick-off and assist you throughout the data preparation process. [To be added: Typical data requirement checklist template]
What are the pricing models?
We offer flexible pricing models: Project-based (one-time delivery), subscription (annual/monthly payment including continuous iteration and operations), usage-based (billing based on API calls or user count). Specific fees depend on scenario complexity, data scale, deployment method, and service level. We provide detailed quotations and ROI analysis after fully understanding your requirements. [To be added: Reference price ranges or typical project quotation cases]
Have other questions?
Contact Us for Detailed AnswersDevelopment Process
Professional Development Process
We adopt a standardized development process to ensure smooth project implementation
Requirements Analysis
In-depth understanding of business needs to determine agent functions and performance metrics
Solution Design
Develop detailed technical solutions and development plans
Development & Implementation
Conduct agent development, testing, and optimization
Deployment & Operations
System deployment and continuous operational support
Ready to Start Your Agent Project?
Whether for government, education, enterprise, or personal scenarios, we have mature solutions and implementation experience. Leave your requirements, and we'll provide preliminary solutions and reference cases within 1-2 business days.