AI for Field Risk Management
Using AI to enable infrastructure operators to make informed decisions and maximize safety in the field.
40+ utilities, including 9 of the 10 largest gas utilities in North America, use Urbint to reduce risk in their communities.
Urbint Lens for Damage Prevention
Reduce asset damages with an end-to-end solution that identifies the riskiest excavations by the specific root cause of damage to prioritize and target field interventions. Centralize ticket management, field data capture, and workflow management in cloud-based, intuitive software.
VP Operations, Southern Company
"We like to create a nexus between safety, tech, and innovation and combine those to create solutions. This partnership with Urbint has allowed us to do that.”
Head of Damage Prevention, National Grid
“Really great job. The analysis on damage rate across time for excavators, along with using a modified metric to determine high damaging excavators, has flagged excavators that we were not historically concerned with. We cannot thank you guys enough.”
Urbint in the Press
Urbint raises $20M for development of AI-powered prediction, threat prevention technology
Thanks to investments from Energy Impact Partners, Piva, Salesforce Ventures, and National Grid Partners, Urbint has raised $20 million to further technology capable of predicting and preventing threats to energy infrastructure and worker safety.
Artificial Intelligence Goes Underground With Urbint: Q&A
“One of our core competencies is creating that digital representation of a utility’s service territory where we’re understanding all those external factors that impact their assets," said Corey Capasso, Founder and CEO of Urbint. "We call it decision intelligence, and it’s incorporated into the utility’s work flow.”
Urbint uses artificial intelligence to empower utilities and infrastructure operators to predict and prevent threats, making communities safer and more resilient. Urbint’s technology leverages proprietary Models of the World and machine learning to enable risk-driven decision making, enhancing safety, reliability, and affordability — all while reducing emissions.