Company Profile
BAIRONG-W
Description
Bairong Inc. operates as cloud-base AI turnkey services provider in China. The company develops various technologies, such as leveraging generative AI and discriminant AI, natural language processing (NLP), privacy computing, machine learning, and cloud computing. It also offers MaaS (Model as a service), which leverages discriminant AI to digitalize the know-your-customer and know-your-product process for institutions by predicting users risk, willingness, and capability; and BaaS (Business as a service), which utilizes discriminant AI to accurately match and filter users for layering and leverages Generative AI to approach users through combination of AI chatbot, short message service, operator services, and other mixed methods. In addition, the company provides a turnkey service to achieve new user marketing, revitalization of existing users, and smart operation for banks, insurance, wealth management, internet technology, and other institutions. Further, the company involved in technology development; development consulting and transfer services of software and hardware products and network technology; Software development; data processing; big data; enterprise credit; micro-loan business; insurance and reinsurance; brokerage; computer system development; and enterprise management consulting businesses. Additionally, the company offers banking, consumer finance, wealth management, financial leasing, and E-commerce industry digital intelligence services. It offers its services to banks, insurance, wealth management, and other numerous internet technology companies. Bairong Inc. was founded in 2014 and is headquartered in Beijing, China.
Reports
This company has 5 ESG reports available.
ESG Performance Overview
Select a KPI indicator to view performance trend
KPI Indicators
A1.2 Direct (Scope 1) and Indirect (Scope 2) GHG Emissions
30 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Total GHG Emissions Intensity (By Employee) | 5 | |
| Total GHG Emissions Intensity (By Revenue) | 4 | |
| Total GHG Emissions | 7 | |
| Direct GHG Emissions (Scope 1) | 7 | |
| Indirect Energy Emissions (Scope 2) | 7 |
A1.3 Hazardous Waste
18 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Total Hazardous Waste Intensity (By Employee) | 6 | |
| Total Hazardous Waste Intensity (By Revenue) | 3 | |
| Total Hazardous Waste Intensity (By Area) | 6 | |
| Total Hazardous Waste | 3 |
A1.4 Non-Hazardous Waste
20 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Non-Hazardous Waste (Office Waste) | 5 | |
| Total Non-Hazardous Waste Intensity (By Employee) | 6 | |
| Total Non-Hazardous Waste Intensity (By Revenue) | 3 | |
| Total Non-Hazardous Waste Intensity (By Area) | 6 |
A2.1 Energy Consumption
35 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Purchased Electricity Intensity (By Revenue) | 1 | |
| Energy Consumption Intensity (By Revenue) | 3 | |
| Energy Consumption Intensity (By Employee) | 3 | |
| Energy Consumption Intensity (By Area) | 2 | |
| Total Energy Consumption | 6 | |
| Natural Gas Consumption | 4 | |
| Total Indirect Energy Consumption | 1 | |
| Total Purchased Energy | 1 | |
| Purchased Electricity | 8 | |
| Purchased Heating | 5 | |
| Grid Electricity Consumption | 1 |
A2.2 Water Consumption
15 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Water Consumption | 8 | |
| Water Consumption Intensity (By Revenue) | 7 |
A2.5 Total Packaging Material Used
5 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Packaging Materials Consumed | 5 |
B1.1 Amount and Distribution of Workforce
96 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Number of Total Employees | 5 | |
| Number of Male Employees | 1 | |
| Number of Female Employees | 1 | |
| Percentage of Male Employees | 8 | |
| Percentage of Female Employees | 8 | |
| Number of Full-time Employees | 5 | |
| Number of Part-time Employees | 2 | |
| Percentage of Full-time Employees | 2 | |
| Percentage of Part-time Employees | 1 | |
| Number of Employees Aged Below 30 | 1 | |
| Number of Employees Aged 30-50 | 1 | |
| Number of Employees Aged Above 50 | 1 | |
| Percentage of Employees Aged Below 30 | 8 | |
| Percentage of Employees Aged 30-50 | 8 | |
| Percentage of Employees Aged Above 50 | 8 | |
| Number of Employees in Hong Kong | 1 | |
| Number of Employees in Mainland China | 3 | |
| Number of Employees in Hong Kong and Mainland China | 2 | |
| Number of Employees in Overseas | 2 | |
| Percentage of Employees in Hong Kong | 1 | |
| Percentage of Employees in Mainland China | 3 | |
| Percentage of Employees in Hong Kong and Mainland China | 1 | |
| Percentage of Employees in Overseas | 3 | |
| Number of Doctoral Degree Employees | 1 | |
| Percentage of Bachelor's Degree Employees | 2 | |
| Percentage of Master's Degree Employees | 2 | |
| Percentage of Doctoral Degree Employees | 1 | |
| Number of New Employees | 3 | |
| Percentage of New Employees | 1 | |
| Number of New Employees (Male) | 3 | |
| Number of New Employees (Female) | 3 | |
| Number of New Employees (On-campus Recruitment) | 2 | |
| Number of New Employees (Social Recruitment) | 2 |
B1.2 Employee Turnover Rate
36 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Turnover Rate of Female Employees | 7 | |
| Turnover Rate of Male Employees | 7 | |
| Turnover Rate of Employees Aged Below 30 | 7 | |
| Turnover Rate of Employees Aged 30-50 | 7 | |
| Turnover Rate of Total Employees | 8 |
B2.1 Number and Rate of Work-related Fatalities
16 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Number of Work-related Fatalities | 8 | |
| Work-related Fatalities Rate | 3 | |
| Number of Fatalities as a Result of Work-related Injuries | 5 |
B2.2 Lost Days Due to Work Injury
8 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Lost Days Due to Work-related Injuries | 8 |
B2.3 Occupational Health and Safety Measures Adopted
7 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Health Check Coverage for Employees | 7 |
B3.1 The Percentage of Employees Trained
47 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Percentage of Employees Trained | 8 | |
| Percentage of Trained Male Employees | 8 | |
| Percentage of Trained Female Employees | 8 | |
| Percentage of Trained Senior Management | 8 | |
| Percentage of Trained Middle Management | 8 | |
| Percentage of Trained General Employees | 5 | |
| Percentage of Trained Board of Directors | 2 |
B3.2 Average Training Hours Completed per Employee
49 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Average Training Hours (Operational Employees) | 1 | |
| Total Training Hours | 1 | |
| Average Training Hours per Employee | 8 | |
| Average Training Hours (Male) | 8 | |
| Average Training Hours (Female) | 8 | |
| Average Training Hours (Senior Management) | 8 | |
| Average Training Hours (Middle Management) | 8 | |
| Average Training Hours (General Staff) | 5 | |
| Average Training Hours (General Employees) | 2 |
B5.1 Number of Suppliers by Geographical Region
8 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Number of Total Suppliers | 5 | |
| Number of Suppliers in Mainland China | 3 |
B6.1 Products Recalled
1 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Percentage of Recalled Products for Safety and Health Reasons | 1 |
B6.2 Products Complaints
6 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Total Number of Customer Complaints | 1 | |
| Number of Products and Service Related Complaints | 1 | |
| Number of Complaints Dealt with | 1 | |
| Complaints Handling Rate | 1 | |
| Satisfaction Rate of Customer Complaint Handling | 2 |
B6.3 Protection on Intellectual Property Rights
2 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Number of Intellectual Property Rights Obtained by the Company | 2 |
B7.1 Confirmed Incidents of Corruption
3 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Number of Confirmed Incidents of Corruption | 1 | |
| Number of Concluded Corruption Lawsuits | 2 |
B8.2 Resources Contributed to the Community
17 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Total Social Investment | 5 | |
| Total Public Welfare Donations | 4 | |
| Total Cash Donations | 3 | |
| Total Volunteer Service Hours | 3 | |
| Number of Employees Participating in Volunteer Activities | 1 | |
| Number of Registered Volunteers | 1 |
ESG Reports
| Year | Report Title | Publication Date | Raw KPIs | Standard KPIs | Processed | Actions |
|---|---|---|---|---|---|---|
| 2024 | 2024 Environmental, Social and Governance Report | 2025-04-25 | 100 | 55 | Yes | |
| 2023 | 2023 Environmental, Social and Governance Report | 2024-04-22 | 110 | 52 | Yes | |
| 2022 | 2022 Environmental, Social and Governance Report | 2023-04-20 | 249 | 159 | Yes | |
| 2021 | 2021 Environmental, Social and Governance Report | 2022-05-31 | 172 | 108 | Yes | |
| 2020 | 2020 Environmental, Social and Governance Report | 2021-07-15 | 72 | 45 | Yes |