Grid4C was founded in 2013 with the aim of optimizing business value from energy meters and IoT devices by combining AI and machine learning. Grid4C has grown to four continents in a few short years, collaborating with major utilities to analyze billions of meters and smart device data to offer millions of forecasts every day. As the number 1 ranked predictive analytics solution provider in the energy industry, the future is very bright for Grid4C. “At Grid4C we are focused on hiring and retaining the very best talent from around the world.” says Dr. Noa Ruschin-Rimini, Founder and CEO, Grid4C. Clients of Grid4C are converting existing data sources into new income streams and successful business outcomes. Grid4C's plug and play AI software analyzes billions of meter reads at the grid edge to deliver millions of daily predictions for energy providers, their customers, and the utility grid.

Grid4C, named a leader in AI solutions for the energy industry and empowers energy providers and consumers by giving them the ability to predict, leveraging advanced Machine Learning capabilities to deliver accurate, granular predictions that are critical for addressing today's energy industry's rising challenges. Grid4C's plug-and-play solutions analyze massive amounts of sub-hourly data collected from millions of smart meters and IoT data, and when combined with customer data, pricing information, and other information, generates new revenue streams, increases customer value, improves energy operations efficiency, and maximizes profit. Predictive Home Advisor, which includes non-intrusive household appliance fault prediction and load disaggregation capabilities, Predictive Operational Analytics, which enables better decisions for distributed energy resource coordination with meter, submeter, and asset-level forecasting, Predictive Customer Analytics, which targets and predicts adoption of new rate plans and utility programmed, and more are part of its portfolio.  

Grid4C's grid edge solutions employ AI to model and anticipate the behavior of each meter and endpoint. The algorithms disaggregate and anticipate use for appliances behind the meter, and they are pooled to produce estimates for clusters of meters. The underlying technology powers applications ranging from individual customer engagement to operational management of decentralized grids by developing predictions from the most granular level up. The company's Predictive Home Advisor uses data from clients' home appliances to identify, repair, and even anticipate defects and inefficiencies. Provide budgeting solutions that estimate energy costs, enhance the efficiency of smart thermostats, and send tailored and actionable notifications to clients about their homes and the energy-consuming items in them.

Grid4C's Predictive Operational Analytics assists in forecasting load at the most granular level, predicting meter and grid asset failures, protecting income from sophisticated theft, and forecasting and optimizing Distributed Energy Resources dispatch.

Predictive models developed by the company that take into account customer parameters, consumption behavior profiles and patterns, and spatial data in order to predict customer responses to marketing and energy efficiency offerings, predict customer churn, plan for long-term baseload growth, and design rate plans. Grid4C Predictive Analytics SaaS solutions are built on unique Machine Learning Big-Data algorithms, ensuring real-time accurate and trustworthy forecasts in a completely automated, plug-and-play environment. The insights and forecasts are provided using innovative visual tools, allowing end users to self-explore, obtain insights, and interpret the data without prior statistical knowledge.