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Log, investigate, and resolve workplace incidents all while being OSHA compliant.
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Automates scheduling, detects risks in real-time and ensure seamless compliance.
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Log, investigate, and resolve workplace incidents all while being OSHA compliant.
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Automate inspections, and instantly take proactive safety actions.
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Connect your safety data with our API and integrate insights into your existing system.
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Seamlessly connects safety data with enterprise-grade business tools.
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Utilize your existing CCTV system and start collecting data right away.
Data Transformer
Automatically convert and export safety data into the precise format your EHS system requires.
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Connect with your industrial infrastructure to prevent SIFs with real-time, automated safety controls.
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Real-time visibility and control with encrypted, outbound-only connections.
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SIF Prevention at Scale in Food & Beverage: Tackling High-Severity Incidents in Real Time
Safety
Seeing The Unseen: Leveraging Computer Vision To Detect Potential SIFs In Real-Time
AI
Preventing Collision Zone Incidents Before They Happen
Safety
What’s familiar may not be the safest option: Overcoming familiarity bias
Safety
Why near misses aren’t enough: The rise of pSIF-driven safety
Safety
Mastering SIF prevention through real-time safety management
Safety
A perfect intersection: Privacy by design and ethical AI
AI
EHS & ESG: Are we finally getting it right?
Safety
An ethical approach: Human-AI collaboration in workplace safety
AI
How was Intenseye born?
AI
Setting new industry standards in EHS
Safety
Spring into safety: Intenseye dominates G2 Spring 2025 Reports
Announcement
How do you measure the impact of safety?
Safety
How to transform contractor safety management with EHS AI Software
Safety
Catalzying EHS transformation in leading safety indicators
Safety
Why should you invest in EHS AI software to reduce safety costs?
Safety
Terry Evans on administrative burden in EHS and safety success at Boise Cascade
Safety
Work-as-Imagined vs Work-as-Done: Can we measure the gap?
Safety
The EU AI Act: Regulatory standard for responsible AI
AI
AI in workplace safety: An EHS director’s perspective
Safety
From vision to reality: The development of Chief
Product
Introducing Chief: The AI platform designed to solve safety’s biggest challenge
Announcement
Ethical AI practices for workplace safety
AI
How to improve behavior-based safety through AI
Safety
A guide to safer SaaS purchasing: Top 4 questions for CIOs to ask when evaluating computer vision AI vendors for EHS
AI
6 steps to conducting effective workplace safety inspections with AI
Safety
Enhancing global EHS management through leading indicators
Product
How to reduce CCTV video streaming bandwidth usage
A day in the life of an EHS Supervisor with Intenseye mobile app
Safety
Optimizing safety management from the plant floor to the boardroom
Product
How is artificial intelligence helping in PPE detection?
Safety
Inside the EU AI Act and its implications for EHS
AI
Road safety management with computer vision AI
Safety
How to leverage AI to manage supply chain safety risks
Safety
Modernize EHS task management for enhanced safety
Product
Breaking the safety plateau with AI
Safety
Call to action: A new era for workplace safety
Announcement
Journey to zero: A guideline to an injury-free workplace
Safety
The history of Ergonomics
Safety
Visualizing safety risks with AI
Product
A day in the life of an EHS manager
Safety
The role of AI in bridging safety work and safety of work
Safety
How to reduce unsafe acts & conditions
Safety
Enhancing forklift and pedestrian safety with AI
Safety
Zero incident goal: Destination or a continuous journey?
Safety
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Featured
AUTHOR 01
intenseye
SIF Prevention at Scale in Food & Beverage: Tackling High-Severity Incidents in Real Time
Safety
Sep 11, 2025
intenseye
Seeing The Unseen: Leveraging Computer Vision To Detect Potential SIFs In Real-Time
AI
Aug 22, 2025
intenseye
Preventing Collision Zone Incidents Before They Happen
Safety
Aug 6, 2025
intenseye
What’s familiar may not be the safest option: Overcoming familiarity bias
Safety
Jul 3, 2025