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Urbint

United States
New York
2015
Private
< $10m
11 - 50
Open website
Enabling utilities and infrastructure operators to make communities safer and more resilient. Urbint is an Artificial Intelligence company for infrastructure and utility safety. We create AI-powered solutions that enable utilities and infrastructure operators to maximize risk reduction on every dollar spent and deploy the right resources to the right place at the right time.The result? Stronger infrastructure. Lower risk. And ultimately, safer and more resilient communities.
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We train AI models by combining our model of the world with the historical data of the challenge at hand, enabling the AI to anticipate future instances of the challenge. By using non-linear Machine Learning techniques, the AI will even learn to identify patterns and sequences of events that have not even occurred yet.
Manage Safety, Resiliency, and Affordability
Utilities manage safety, resiliency, and affordability for their communities. Our software helps you optimize safety and resiliency, while maintaining affordability.
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[Vendor_Name] is active in the security and public safety industries.
Use Cases
Public Warning & Emergency Response
Industries
Security & Public Safety
Urbint’s Technology Stack maps Urbint’s participation in the IoT technology stack.
  • Application Layer
  • Functional Applications
  • Cloud Layer
  • Platform as a Service
    Infrastructure as a Service
  • Edge Layer
  • Automation & Control
    Processors & Edge Intelligence
    Actuators
    Sensors
  • Devices Layer
  • Robots
    Drones
    Wearables
  • Supporting Technologies
  • Analytics & Modeling
    Application Infrastructure & Middleware
    Cybersecurity & Privacy
    Networks & Connectivity
Technological Capability
None
Minor
Moderate
Strong
Number of Case Studies1
National Grid's Successful Damage Reduction Strategy with Urbint's AI-Powered Solution
National Grid, a multinational electricity and gas utility company, had been successful in reducing damages in their downstate New York territory for nearly a decade. However, the damage rate plateaued around 1.6 damages per thousand 811 tickets. The utility was facing challenges in identifying high-risk excavations due to the large volume of tickets, which was around 600,000 per year. Furthermore, the utility was experiencing higher-than-average no call-in damages on Long Island, with 40 to 45 percent of damages resulting from excavators not calling 811 before working. Despite efforts to increase awareness among the excavating community, the utility was still an outlier in the industry. National Grid needed a solution to efficiently identify their highest risk excavations and determine where no call-in damage was most likely to occur on Long Island.
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