Identifying HAZARDS and managing CRITICAL RISKS is the challenge
Leverage AI and data analytics
to improve process safety
performance
It’s your data, analyze it your way
You’ve have the data, now put it to use
TECHNOLOGY MAKES IT EASIER
A user-driven process safety analytics solution designed to put you in control of how your data is analyzed and integrated into daily operations.
Drive safety leadership at the executive level with targeted AI insights and analysis that empower proactive and safety-conscious decision-making. Advanced visualizations uncover deeper understanding, and seamless integration with BI and operational systems creates unlimited opportunity.
YOU MAKE IT SAFER
Deliver Value Across the Organization
Proven use cases that create meaningful results in Process Safety Management (PSM) and technical safety.
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Identify safety critical elements based on their risk reduction or contribution to unwanted events.
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Identify options to mitigate risk while defeating or bypassing critical safeguards.
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Train operators to recognize safety critical equipment or activities that are essential to reducing risk.
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Provide executives with thought provoking questions when they make field visits to demonstrate visible, felt, safety leadership.
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Make budget and other decisions based on risk management and process safety factors.
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Focus audits on equipment and processes that mitigate the highest amount of risk in facility operations.
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Leverage baseline PHAs to streamline field engineering and MOC risk assessments.
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Prioritize and manage recommendations based on their risk reduction value.
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Plan maintenance activities around the risk reduction value of the equipment and safety criticality and improve asset integrity.
Process Safety Analytics That Matter
•Custom Branded Web App
•Pre-Programmed Analytics
•Aggregate, Filter, Sort, and Export
•Bowtie Visualization
• AI-Driven Process Safety Insights
•Open API Configuration for BI and Operations Technology Integration
“Trevor Kletz taught us that most accidents are born from design errors, not human errors. For years, we have hunted for these flaws in paper reports. Today, with AI-driven analytics, we can finally bring this critical intelligence to life, moving from historical analysis to predictive prevention”
