Funding
Funding not disclosed
Founders
Product
Problem
Workplace accidents continue to cause fatalities and financial burdens for organizations, despite advancements in safety measures. Traditional risk assessment tools often rely on static, historical data, failing to adapt to real-time conditions and individual worker variations. This reactive approach limits the ability to proactively prevent incidents and improve overall workplace safety.
Solution
ADAM AI Solutions offers PRESTO, an AI-powered risk profiling tool that dynamically predicts and helps prevent workplace incidents. PRESTO analyzes a multitude of factors influencing risk levels, including historical incidents, employee training records, real-time weather conditions, worker wellness data from wearables, and social media activity. The system quantifies risk through a numerical index, triggering alerts and suggesting preventative measures when risk levels exceed predefined thresholds. By integrating diverse data points and applying machine learning, PRESTO shifts from reactive assessment to proactive prescription, enabling organizations to mitigate high-risk scenarios before they escalate.
Target Audience
The primary target audience includes organizations in industries such as construction, manufacturing, and railway engineering, with a focus on safety managers and executives seeking to reduce workplace incidents, improve safety culture, and optimize investments in preventive measures.
Features
- Dynamic risk profiling based on machine learning analysis of diverse data points
- Real-time data integration from wearables, weather services, and social media
- Numerical risk index that quantifies individual worker's occupational health and safety risks
- Customizable alert thresholds that trigger preventive actions
- Mobile app functionality to make video calls with remote support
- Background location tracking to detect proximity to dangerous areas and materials
- Data-driven insights to uncover incident root causes and patterns