Intelligent Systems for Safety
Join your data with predictive analytics and AI to identify and mitigate risk and improve your safety metrics.
Sentient Safety means using smart information technology to protect your people and operations.
Where Predictive Safety Analytics Can Help
Workers
Predict risks to minimize workplace incidents, injuries, and accidents
Public and Environment
Safeguard the public and support sustainability goals
Processes
Identify process improvement opportunities to reduce incidents
Facilities and Assets
Minimize downtime and lost time incidents
Moving Vehicle Safety
Reduce collisions and accidents
Food Safety
Ensure regulatory compliance and mitigate food safety risk
The Benefits of Safety Analytics
We all want our colleagues to return home safe and secure, with all limbs intact, with no injuries or trauma. A focus on personal wellness also has an impact on the business. Safety programs and processes, while protecting individuals, also bring benefits to an organization.
Safety analytics can:
- Improve safety metrics such as OSHA or FRA reportable injury rates, DART (days away restricted time), lost time incidents (LTIs), and near misses
- Reduce lost productivity and improve operational metrics, like manufacturing OEE;
- Reduce equipment damage
- Reduce legal liability, litigation and settlement costs, and medical treatment payments
- Reduce insurance premiums
- Supply information to assist managers in safety-related coaching
- Improve management/labor relations
- Support managers in attaining their safety-related performance metrics
- Aid safety professionals in measuring safety program effectiveness and in designing impactful policies, programs, and training
- Contribute to corporate sustainability goals
Upcoming Events
Jun
18
CHOLearning 2025: 31st Annual Learning Conference
Session: AI in Action: a Year Three CHOLearning Conference Update
Jul
22
Session: How Generative AI Is Improving Workplace Safety: Real-World Examples