AUSTIN, Texas–(BUSINESS WIRE)–Grid4C, an award winning, industry leading AI-Powered energy analytics solution provider, has hired Musaddeq Khan (MK) as its Chief Revenue Officer to expand its global sales efforts. Khan joins the company with over a decade of experience in building and selling software and analytics solutions to utilities for companies like Itron, Landis & Gyr, Clevest and Verdeeco. He built one of industry’s first SaaS analytics platform and app store, later acquired by Sensus, now Xylem.
Khan will focus on accelerating sales and be responsible for all revenue-generation strategy and execution worldwide. He is joining Grid4C as the company accelerates its growth and global expansion. “I am thrilled to join the Grid4C team at this exciting time,” says Khan. “Grid4C has a clear strategy, a solid technological AI edge, and is challenging utilities to think differently about how data can create value for them and their customers.” Grid4C’s comprehensive platform analyzes the massive amount of sub-hourly data collected from millions of smart meters, together with customer data, pricing information and more, in order to maximize utilities’ operational efficiencies, increase customer engagement and drive profit.
Selected as the leading AI-powered analytics vendor for utilities by GTM Research and Navigant Research, Grid4C is working with leading utilities on 4 continents, analyzing billions of meter reads, and producing millions of predictions per day both on the grid side and on the consumer side.
“We are excited to have someone with MK’s experience, leadership and initiative,” says Dr. Noa Ruschin-Rimini, CEO and Founder of Grid4C. “MK comes with a strong energy analytics product background as well as deep utility insights, and we are looking forward to the growth he will bring to our company.”
Selected as a leader in AI-powered analytics for the energy industry by Greentech Media and Navigant Research, Grid4C empowers energy providers and consumers by enabling the power to foresee, leveraging advanced Machine Learning capabilities to deliver accurate, granular predictions, which are crucial for tackling the rising challenges of today’s energy industry. Grid4C’s plug-and-play solutions analyze the massive amounts of sub-hourly data collected from millions of smart meters and IoT data, and together with customer data, pricing information and more, delivers new revenue streams, enhances customer value, improves the efficiency of energy operations, and maximizes profit. Its portfolio consists of Predictive Home Advisor, which includes non-intrusive household appliance fault prediction and load disaggregation capabilities, Predictive Operational Analytics, enabling better decisions for coordination of distributed energy resources with meter, sub-meter, and asset-level forecasting, Predictive Customer Analytics, which targets and predicts adoption of new rate plans and utility programs, and more.
For more information, visit http://www.grid4c.com
Dr. Noa Ruschin-Rimini