Who We Are

Origin Story

Greg Guzzetta has dedicated more than fifteen years to the development of Crowd Management Technology Solutions. He established Event Intelligence Group, a trailblazing venture, which introduced the implementation of cutting-edge crowd surveillance systems and incident management software across North America.

In June of 2020, in response to the pandemic, Greg took the initiative to establish Safe Haus Group. Safe Haus focused on creating software and services aimed at ensuring COVID compliance on film sets and major events, including prominent affairs such as The Biden Presidential Inauguration and The Academy Awards Ceremony in 2021.

Safe Haus has returned to its original mission, driven by the goal of not only enhancing safety, but also providing insightful data to comprehend guest behavior. Our commitment lies in leveraging technology to improve safety measures and foster a deeper understanding of how individuals interact within these environments.

Safe Haus remains committed to relentlessly exploring novel technologies that serve the purpose of crowd safety. Since 2017, we have been actively testing and identifying applications for LiDAR technology within event venues. While existing technologies like video surveillance and RFID offer a foundational level of situational awareness, they fall short in delivering the actionable real-time data that LiDAR can provide.

At Safe Haus, we merge cutting-edge technology with imaginative engineering to develop and offer crowd management solutions that are at the forefront of innovation. 

Our services go beyond surface-level observations by delving into the intricate dynamics of crowd behavior and gathering spatial intelligence. By analyzing this data, we empower our clients with actionable insights that help mitigate risks and gain a deeper understanding of guest behavior.

Safe Haus Group has worked with

From our blog

Transforming Crowd Monitoring

A Comparative Study on the Efficacy of LiDAR Technology

The accurate measurement of crowd density is a challenging and critical task with wide-ranging applications including event management, security, urban planning, and emergency response. Traditional techniques using video surveillance, infrared sensors, and Wi-Fi/Bluetooth tracking have been employed in this field; however, they present considerable limitations, particularly in dense, dynamic crowd scenarios.

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