SustainaBo knows well about the compound challenge of sustainable development, financial investment,enterprise operation and technology empowerment, and can organically integrate real needs of various scenarios with deep applications of ESG and carbon neutrality, to provide ESG digital product series that empower every industry with AI and trully cover all scenarios.
Product Upgrading
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Product Upgrading
Coming Soon
AI Deeply Embedded into System
DeepESG Data-Business Cycle: Insights-Execution-Feedback
Core Training Database
3000+ESG-Related Laws and Regulations
10,000+Industry ESG Analysis + Reports
100,000+ESG Reports + Annual Reports + Cases of
A-share/H-share/China Concept Stock Enterprises
300+International and Domestic ESG Methodologies,
Disclosure Frameworks and Rating Systems
deepESG LLM
Professional Knowledge Base
Deep understanding of ESG terminology and context to generate more expert-level content
Industry benchmark comparison
Allows comparison between enterprise performance and industry benchmarks on a per-indicator basis
Multi-language Support
Provides accurate multilingual output for ESG vertical industries
Compliance Capabilities
Deep understanding of industry standards and regulations to identify compliance risks
Expert Feedback Integration
Incorporates industry expert feedback for continuous self-optimization
deepESG Agent
Task Automation
Automatically assign and partially execute ESG-related tasks, with progress tracking
Data processing and cleansing
Automatically clean, verify and mark ESG data, to improve precision and integrity
Multi-Framework Reports
Generate reports that meet various ESG standards based on mapping logic
Smartly feedback and adjust
Dynamically adjust task and strategy based on real-time data
User Interaction Adaption
Recommend creation of projects or tasks based on users' periodic operation habits
Deep Integration and Application of Large Language Models
ESG Data Management
NLP and machine learning automate the analysis, classification, and tagging of ESG data, identifying key indicators and patterns with minimal human intervention
Dynamic Report
Predictive models estimate ESG trends and generate or model-create standardized reports to ensure accuracy and compliance
Inspection and Data Collection
Recommend optimal survey structures and customize templates based on industry-specific needs
Risk and Compliance Monitoring
Anomaly Detection and Knowledge Graph Analysis to Identify Risks, Complex Relationships, and Compliance Gaps
User Interaction
Language Assistant and Messenger Recognition streamline data queries, report generation, and decision-making processes
Trend Prediction
Time series and sentiment analysis to predict ESG trends and provide deep insights
Supplier Management
Using NLP and machine learning to assess suppliers' ESG performance and predict supplier risks
Due Diligence
Generate or model-create customized surveys with automated distribution and collection
Risk Monitoring
Anomaly detection and knowledge identification to uncover supplier risks and compliance issues
ESG Knowledge Sharing
Knowledge graphs and recommendation systems provide best practices and tailored strategic recommendations
Real-time Alerts
Continuous monitoring ensures compliance through timely alerts
Carbon Data Analysis
Machine learning calculates emissions from multi-source data and presents clear results through a visualized dashboard
Emission Reduction Optimization
Predictive models and algorithms recommend efficient emission reduction strategies and timelines
Compliance Reports
Generate or model-automate regulatory reports to streamline the process
Risk Management
AI detects anomalies and recommends operational improvements to control emission risks
Policy Monitoring
NLP tracks regulatory updates to ensure timely strategy adjustments
Flexible Deployment Options
Standard Version
SaaS
On-premises Deployment
Professional Version
SaaS
On-premises Deployment
演示预约