How VelocityEHS Uses AI to Predict and Prevent Serious Workplace Injuries

VelocityEHS: Using AI to Improve Workplace Safety

VelocityEHS applies artificial intelligence to enhance workplace safety by predicting and preventing serious injuries. Its tools, such as the Potential Serious Injury and Fatality prediction system, enable organizations to identify risks earlier and make faster, smarter decisions to protect employees.

Despite advances in technology, fatal workplace injuries in the U.S. have remained steady for over two decades. Data from the U.S. Bureau of Labor Statistics shows that the most severe injury categories have seen the least improvement. This reveals a key challenge: spotting and reducing serious injury risks manually is too difficult and inefficient at scale.

By integrating AI and machine learning, VelocityEHS offers an automated approach to risk assessment, helping organizations move beyond traditional methods. Their technology combines domain knowledge with advanced algorithms to provide practical safety solutions.

About VelocityEHS

VelocityEHS develops software that supports organizations in meeting environmental, health, and safety (EHS) goals. Their AI-driven capabilities cover areas like chemical inventory management, contractor safety, permitting, and environmental compliance.

The company designs custom AI models that outperform generic options. These include language models specialized in safety reports, vision systems for hazard detection, and hybrid models that analyze both structured and unstructured data.

The team’s focus is on closing the gap in safety performance by delivering tools that help prevent serious injuries and fatalities. This mission is backed by a culture of continuous learning and hands-on experimentation, ensuring solutions remain effective and relevant.

How AI Drives Value at VelocityEHS

VelocityEHS builds AI solutions with a clear mission: reducing injuries and fatalities. Their approach provides organizations with a “virtual army” of EHS experts to identify risks early and support frontline workers and investigators with smart assistance.

• Predictive models identify incidents that could have caused severe harm, even if the actual outcome was less serious.
• AI recommends corrective actions and uncovers patterns across sites.
• Tools spotlight underreported risks and improve decision-making beyond compliance requirements.

Before launching any solution, VelocityEHS conducts thorough pilots and feasibility studies to validate effectiveness. They also prioritize data ethics, ensuring customer data is used only with explicit consent, building trust through responsible AI practices.

The recently released Potential Serious Injury and Fatality prediction tool combines natural language processing with structured risk models. This allows safety teams to detect hidden dangers and intervene sooner, replacing slow manual reviews of vast reports with efficient, data-driven insights.

Internally, AI accelerates product development by streamlining tasks like data preprocessing and model validation. This integration boosts research impact and speeds innovation, making AI both a product feature and a development tool.

The Team Culture at VelocityEHS

The VelocityEHS team blends AI expertise with deep knowledge of EHS challenges. They actively participate in professional AI communities, attend leading conferences, and contribute to academic research. The company holds 12 U.S. patents related to AI in workplace safety and has published scientific papers in renowned journals.

Working closely with safety professionals, their technologists gain valuable domain insights that shape practical solutions. Team members enjoy ownership over projects from problem definition to deployment, fostering a sense of real impact.

The company emphasizes rigor and depth by engaging with research-focused sources rather than popular AI content. This approach ensures innovations are grounded in reliable science and aligned with their mission to improve safety.

VelocityEHS combines domain rules with machine learning models, creating transparent and high-performing systems. This hybrid architecture acts like a “safety GPS,” where ML evaluates risk while expert systems enforce compliance.

Every team member’s expertise contributes to the company’s solutions, allowing individuals to make meaningful contributions that enhance workplace safety in high-stakes environments.

For product development professionals interested in AI applications that deliver measurable impact, VelocityEHS provides a clear example of how specialized AI can transform traditional processes and improve outcomes.