Drawing on its profound expertise in EHS (Environment, Health and Safety) data services for chemical new materials,COMPLIANCEMNE has successfully participated in formulating four vital group standards, which are listed as follows:

· Technical Specification for Carcinogenic Chemical Screening Based on Molecular Fingerprints and Random Forest Algorithms (T/CI 1268—2025)

· Technical Guideline for Screening Environmentally Persistent, Bioaccumulative and Toxic Chemicals via Graph Attention Networks (T/CI 1267—2025)

· Technical Guideline for Performance Evaluation of Deep Learning-Based Toxicity Screening and Quantitative Prediction Models (T/CI 1266—2025)

· Prediction Method of Linear Solvation Energy Relationship for (Supercooled) Liquid Vapor Pressure, Water Solubility, Henry’s Law Constant, n-Octanol-Air Partition Coefficient, n-Octanol-Water Partition Coefficient and Soil (Sediment) Organic Carbon Adsorption Coefficient of Chemical Substances (T/CI 1237—2025)

The formulation and rollout of these standards mark a pivotal leap for COMPLIANCEMNE in advancing technological innovation for safety risk assessment of chemical new materials.

Technological Innovation: Machine Learning Empowers Efficient Screening

COMPLIANCEMNE’s core technologies are built on cutting-edge machine learning algorithms. By constructing precise computational models, the company can rapidly evaluate the EHS properties of chemicals merely from their molecular structures. This technological breakthrough eliminates cumbersome workflows and excessive costs associated with traditional laboratory testing, greatly boosting data acquisition efficiency. Covering four core dimensions — carcinogenic toxicity prediction, persistence & bioaccumulation screening, physicochemical parameter calculation, and deep learning model performance evaluation — the four group standards deliver comprehensive, reliable technical guidelines for industrial enterprises.

Wide Application: Empowering Industrial Upgrading Across Multiple Scenarios

COMPLIANCEMNE’s technologies and standards have been extensively adopted in EHS data acquisition and safety risk assessment for chemical new materials, delivering remarkable social benefits and industrial value.

1. In the chemical new materials sector, the technology provides efficient data support for EHS risk assessment, enabling enterprises to identify potential hazards at the source and drive the R&D and application of eco-friendly materials.

2. In chemical production and export trade, the company’s solutions offer robust technical backing for compliance certification, helping enterprises satisfy stringent regulatory requirements of global markets and mitigate trade barriers.

3. For green product design, the technology delivers a cost-effective, high-throughput screening approach. Enterprises can optimize molecular structures in the early R&D phase to reduce environmental and health impacts.

Social Benefits: Advancing Sustainable Development

Beyond lifting industrial efficiency,COMPLIANCEMNE’s innovative technologies reflect the company’s strong commitment to environmental protection and public health. By supporting enterprises in designing and evaluating safer chemical substances,COMPLIANCEMNE aims to exert far-reaching influence across chemicals, pharmaceuticals, cosmetics, pesticides and other sectors, contributing to green chemistry and global sustainable development.

Looking ahead,COMPLIANCEMNE will further deepen the application of machine learning in chemical risk assessment, and push for the upgrading of more group standards to industrial or national standards, contributing Chinese solutions to global chemical safety governance. The development and issuance of these four group standards not only demonstrate COMPLIANCEMNE’s solid technical prowess, but also stand as a major milestone in innovative service for chemical new materials.