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What is Urbint?

Urbint presents a distinctive AI-based strategy aimed at reducing risks in the field, with a primary focus on preventing accidents involving workers and protecting infrastructure. This cutting-edge solution is relied upon by a variety of utilities and asset operators throughout North America to bolster safety and decrease risks within their communities. By adopting a thorough damage prevention framework, Urbint aids in minimizing asset damage through a holistic approach that identifies the most dangerous excavations based on their underlying causes, thus facilitating targeted interventions in the field. The platform streamlines ticket management, gathers field data, and provides oversight of workflows through an easy-to-use, cloud-based system. Moreover, Urbint enhances worker safety by proactively detecting and mitigating potential hazards, enabling organizations to achieve their safety assurance goals more efficiently. The system also strengthens emergency response capabilities by accurately predicting call volumes, which guarantees optimal workforce planning and staffing on a shift-by-shift basis. Ultimately, Urbint emerges as an essential tool for organizations aiming to enhance both safety and operational productivity while fostering a culture of proactive risk management. Its contributions significantly impact the overall effectiveness of safety measures in the field.

What is Quantellia?

Relying exclusively on machine learning can often be inadequate, as it tends to provide predictions or classifications without a straightforward method for reaching specific goals. On the other hand, a Decision Intelligence (DI) model establishes a link between actions and their results, clarifying the assumptions and predictions, which enables organizations to make informed adjustments based on data or expertise as they progress. In environments like event venues, sports arenas, educational institutions, corporate offices, and industrial facilities, the pressing question endures: how can they successfully mitigate the risk of COVID-19 transmission? Many organizations aim to surpass the baseline safety standards established by health authorities to ensure greater protection against the virus. Similar to how pilots engage with simulations to enhance their flying capabilities, our Pandemic Action Advisor (PANDAA) equips organizations to analyze the effects of different safety measures, including mask mandates, HVAC modifications, social distancing practices, and Far UVC lighting, all customized to the specific configurations of their facilities and the movement patterns of personnel and visitors. As we navigate this intricate landscape, it becomes evident that AI, which encompasses both machine learning and decision intelligence, is evolving and becoming more adept at tackling real-world issues. This progression highlights the importance of formulating comprehensive strategies that not only prioritize safety but also promote operational resilience in an ever-changing environment. Additionally, the integration of these advanced technologies offers a proactive approach to future challenges, fostering a culture of continuous improvement and adaptability.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

Urbint

Company Location

United States

Company Website

urbint.com

Company Facts

Organization Name

Quantellia

Company Location

United States

Company Website

quantellia.com

Categories and Features

Decision Intelligence

Not specified

Safety Management

Not specified

Categories and Features

Decision Intelligence

Not specified

Decision Support

Not specified

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