VelocityEHS Publishes AI Research in Workplace Safety and ESG

VelocityEHS has published three groundbreaking scientific papers, further establishing its leadership in AI and machine learning for workplace safety and sustainability, announced in a press release. These papers, featured in journals such as Ergonomics and Elsevier, highlight advancements in musculoskeletal disorder (MSD) risk assessment, ESG data management, and chemical safety.

The first paper introduces an AI-powered framework using Natural Language Processing (NLP) to automate the identification of MSD risks and recommend targeted risk controls. This approach goes beyond traditional risk scoring by providing actionable insights to improve workplace ergonomics and reduce injuries.

The second paper presents an AI-driven system for automatically extracting and answering questions from extensive ESG reports. This innovation aims to streamline the process of audits and benchmarking, making it more efficient for organizations managing large volumes of ESG data.

Lastly, the third paper details an AI-powered system for automating the extraction of key chemical safety data from Safety Data Sheets (SDS). This system enhances efficiency and compliance by indexing critical fields with high precision, setting a new standard for speed and accuracy in chemical safety management.