Grid4C develops AI and Machine Learning solutions to extract maximum business value out of smart meters and IoT data, embedding AI algorithms at the grid edge, while delivering predictive insights for energy providers, their customers, and the grid.

Grid4C

DNSSEC

Amazon

U.S. Server Location

Facebook Sharer

Amazon California Region

Chief Technology Officer

Daniel Adrian

VP R&D

Eran Samuni

Founder & CEO

Dr. Noa Ruschin-Rimini

Meir Ukeles

Steve Bell

VP Global Sales & Business Development

Ruschin Rimini

Founder and CEO

iAngels Portfolio Companies

Predictive Analytics Female Founded Companies

Austin Companies With Less Than $10M in Revenue

Southern US Female Founded Companies (Top 10K)

The big difference between Smart Grid Descriptive Analytics
and Grid4C's Smart Grid Predictive Analytics
is that instead of analyzing the past, we provide forecasts and actionable insights
with a predictive nature, enabling to control tomorrow's bottom line results.

Alectra

Venture Round - Grid4C

MoreVC

Austin

Texas

United States

North America

Internet of Things IoT in Utility Industry is Expected to Grow at ...

Artificial Intelligence in Energy Market Size, Analyzing Trends ...

Grid4C Appoints Industry Leader Bob Champagne as GM North America to Accelerate Growth

Sub-hourly load disaggregation of home appliances using electric smart meter …

Method and system for automatic detection of malfunctions/inefficient household …

A method and system for automatic detection of malfunctions/inefficient …

Method and system for detecting inefficient electric water heater using smart …

Develops AI and Machine Learning solutions to extract business value from smart meters and IoT data, providing predictive insights for energy providers, customers, and the grid.

Detects, diagnoses, and predicts malfunctions and inefficiencies in home appliances using smart meter data without additional hardware.

Analyzes smart meter data to break down energy usage by appliance and alerts customers to anomalies in usage or costs.

Builds predictive models to forecast energy consumption and costs for each customer, providing daily and weekly usage predictions.

Combines customer usage data with smart thermostat data to optimize settings and predict faulty appliances.

Provides personalized notifications about high appliance usage before high price periods based on appliance ownership and usage patterns.

Nigeria

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Pakistan

Asia

Germany

Europe

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Grid4C