Suppliers United States Urbint

	Urbint
HQ Location	United States
HQ City	New York
Year Founded	2015
Company Type	Private
Revenue	< $10m
Employees	11 - 50
Website	Open website

Urbint

HQ Location

United States

HQ City

New York

Year Founded

2015

Company Type

Private

Revenue

< $10m

Employees

11 - 50

Website

Open website

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. Read More
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. Read More Log in to view content
Contents

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.

[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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Overview

Urbint

IoT Snapshot

Technology Stack

Case Studies