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Urbint
Overview
HQ Location
United States
Year Founded
2015
Company Type
Private
Revenue
< $10m
Employees
11 - 50
Website
Twitter Handle
Company Description
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.
IoT Solutions
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.
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.
IoT Snapshot
[Vendor_Name] is active in the security and public safety industries.
Technology Stack
Urbint’s Technology Stack maps Urbint’s participation in the IoT Technology stack.
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Devices Layer
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Edge Layer
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Cloud Layer
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Application Layer
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Supporting Technologies
Technological Capability:
None
Minor
Moderate
Strong
Case Studies.
Case Study
National Grid Reduces Damages by 22% in 1 Year
National Grid reduced its damage rate, a metric that shows the number of damages per 1,000 811 tickets, in the downstate New York territory by implementing universal underground damage prevention best practices. The utility’s damage rate was 5.36 damages per thousand in 2006 and 1.89 damages per thousand in 2014, a 65 percent improvement. After several years of progress, however, the utility’s damage rate plateaued.Like many utilities, National Grid also had limited staff tackling a large volume of tickets. Furthermore, the utility was experiencing higher-than-average no-call-in damages on Long Island.National Grid needed a way to efficiently identify their highest risk excavations so they could best allocate their small team. They also needed help determining where no call-in damage was most likely to occur on Long Island so they could best target their 811 awareness campaigns.
