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Urbint is a New York based Artificial Intelligence company providing predictive analysis of urban data to help utility providers in infrastructure and asset related decision process. The company works together with cities and utilities to analyze data from traditional data sets like spreadsheets and databases to understand patterns to relegate risks and avoid service disruption.
Urbint creates technology platform called "Grid" to work with businesses and government utility services to analyze data and provide predictive analysis. The platform works through the complex dynamics of urban data sets from multiple sources and analyzes possible risks and enable utilities to find solutions ahead of time. The platform monitors data in real-time and uses machine learning to establish relationships between data points to analyze errors and inconsistencies. The results help predict possible failure and loss of assets.
City utilities have huge assets invested in operation which are critical to the city’s operation. Urbint helps monitor these assets in real time to provide information about their usage. The company analyzes data from vital commodity usage like gas, electricity, and water to couple it with a geographic information system (GIS) to provide an interactive map of how cities absorb them. This representation also gives insights on greenhouse gas emissions to help create appropriate measures.
Corey Capasso and Ryan Schmukler founded Urbint in 2015 and is headquartered in New York, United States.