
Choice Energy Business Unit, an SEW Company
About
Our Passion is Revenue Assurance: CHOICE was founded by a group of data scientists determined to develop a robust new theft analytics solution to help utilities drive down non-technical revenue losses with little or no impact on operational costs. In 2003, this belief became a reality with the launch of CHOICE Revenue Intelligence™. Our growing customer base soon included one of the largest utilities in Brazil, Light, a four million consumer electricity distribution utility in Rio de Janeiro. Today CHOICE Revenue Intelligence™ suite of products and services is recognised as the revenue assurance solution in emerging markets and the thought leader worldwide as pointed out by the Northeast Group in May 2017: “In Pure Analytics… the leading vendor focusing specifically on revenue protection is the Brazilian vendor Choice” Being used by +30 electric, gas and water utilities is serving more than 100 million people. Our passion to cost-effectively operations provide Utilities with actionable knowledge on where to get the greatest return for each inspection dollar spent and drives us to develop products and services that adapt as thieves change their tactics. CHOICE experts in loss recovery and computational intelligence work in partnership with your internal specialists to review available data sources and non-technical loss investigation rules and procedures. Through this shared learning approach, we are able to develop a utility-specific recommendation for you employing our highly flexible data analytics solutions. This partnership approach is how CHOICE continually delivers a quick return on investment even for utilities in emerging markets facing budget and resource constraints. At CHOICE, we work hard to find a solution to recover the revenue you deserve.
US
15495 Sand Canyon Ave, Irvine, California
92618
Privately Held
33
Software Development
Computational Intelligence; Energy Efficiency; Revenue Assurance; Smart Grid; Predictive Analytics; Artificial Intelligence; Machine Learning; Big Data for Utilities; Data Science; Non Technical Losses
Top Decision Makers · 1
Gerente Administrativa Financeira
Ana Virginia Maia
Brazil
******@***.com
Phone
(**) *** ****
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