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Average Ratings 0 Ratings
Description
SLM V2 represents a thorough collection of integrated application modules that address the entire spectrum of the Process Safety and Functional Safety Lifecycle. It encompasses everything from HAZOP and LOPA Studies to the design, operation, and maintenance of Safety Instrumented Systems (SIS), equipping users with all necessary tools to effectively oversee the Safety Lifecycle. This platform includes software modules focused on risk assessment and management practices such as HAZOP, LOPA, and BowTie analysis. Additionally, it supports Instrumented, Non-Instrumented, and Relief Systems for the management of Independent Protection Layers (IPL) and the design and verification of SIS and Safety Integrity Levels (SIL). To guarantee that the systems designed are not only maintained but also effectively assessed for performance, SLM V2 features modules for Operations & Maintenance, Functional Safety Assessments, Management of Change (MOC), an Action Item Tracker, and Personnel Management tools, all aimed at ensuring the efficient management and validation of safety systems and their operators. By providing such a comprehensive suite of modules, SLM V2 allows organizations to enhance their safety protocols and effectively mitigate risks throughout their operations.
Description
SafetyNet is a cloud-based Software-as-a-Service (SaaS) platform that utilizes cutting-edge predictive analytics to assist organizations in the proactive avoidance of workplace injuries. By examining safety inspection and observation data, SafetyNet reveals leading indicators and predicts potential hazards in real-time, allowing users to implement preventive measures before incidents take place. The platform enhances data collection through mobile technology, supports comprehensive analysis to extract actionable insights, and guarantees prompt communication of findings to the appropriate personnel. With its proven predictive modeling, SafetyNet enables safety professionals to shift from a reactive approach to cultivating a proactive safety culture, significantly decreasing incidents and improving overall workplace safety. Ultimately, this innovative solution not only protects employees but also fosters a safer and more efficient working environment.
API Access
Has API
API Access
Has API
Integrations
Intelex
Techstep Essentials MDM
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Mangan Software Solutions
Founded
1999
Country
United States
Website
mangansoftware.com
Vendor Details
Company Name
Intelex - Predictive Solutions
Founded
2002
Country
United States
Website
www.intelex.com/predictivesolutions
Product Features
EHS Management
Audit Management
Corrective / Preventive Actions
Environmental Management
Environmental Risk Assessment
Forms Management
Incident Management
Industrial Safety Management
Injury Reporting
Inspection Management
MSDS
OSHA Recordkeeping
Occupational Health Management
Safety Risk Assessment
Training Management
Waste Management
Product Features
EHS Management
Audit Management
Corrective / Preventive Actions
Environmental Management
Environmental Risk Assessment
Forms Management
Incident Management
Industrial Safety Management
Injury Reporting
Inspection Management
MSDS
OSHA Recordkeeping
Occupational Health Management
Safety Risk Assessment
Training Management
Waste Management
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis