ClearGrid is a start-up company founded by utility industry veterans and computer vision software experts. We are pioneering imagery analysis technology in the electric utility industry, recently awarded a grant by New York State. Our solutions leverage the availability of high-performance, streetview type imagery solutions to capture overhead lines and streamline work processes. Privately-held, ClearGrid is based in the Greater New York City Area. It is a member of the New York City Accelerator for a Clean and Resilient Economy (NYC ACRE) and a semi-finalist in CleanTech Open 2014.
Our solutions allow utilities to prevent and respond to distribution-related power outages more effectively. That translates into safe and reliable service for your customers and goodwill from regulators. The result: satisfied customers and less pressure during your next rate case, making sure that it is money well spent.
Better and more cost-effective vegetation management helps you maximize the effectiveness of your budget and know the results of your efforts.
Improve the accuracy of your GIS, keep better track of equipment locations and status, and manage your infrastructure better.
Respond better to storms, with accurate pictures of the damage. Send out the right crew and materials, the first time. And help reduce your estimated time of restoration, in the process.
Michael managed electric utility technology and M&A strategy for 5 years, most recently as Business Development and M&A Manager at PSEG, the largest utility in NJ. While there, he saw 75% of the utility's customers lose power after Hurricane Sandy, and had a vision of using imagery better. He is a Chartered Financial Analyst, JD, member of the New York State Bar.
Chief Technology Officer Jim Reesman is an experienced imaging industry expert, software developer and team leader. He has over 30 years of software development experience and an MS in Computer Science from Stanford, with a focus on computer vision and machine learning. He was previously Vice President of Software Engineering for a large, publicly traded digital imagery codec company.
Ram Krishna is a versatile and resourceful software architect, seasoned in both back-end and front-end. He has a strong understanding of essential programming languages like C, JAVA (OOP) and Python, as well as Android app development. Research interests include Augmented Reality, Cloud Computing, Big Data, Virtual Machines, Networking, and others. He is currently a full-time Computer Science Master’s Student at NYU Polytechnic School of Engineering.
Dr. Reiter has 9 years of experience in the computer vision field. He received his Ph.D. from Columbia University in the Department of Computer Science. He worked for several years in the defense contracting industry on various computer vision R&D projects for AFRL and DARPA, focusing on video tracking, image registration, and 3-D reconstruction in both UAV and ground-operated environments.
We were selected by the State of New York for a research grant to begin developing image pattern recognition algorithms, in July 2014. Excerpt from Governor Cuomo's Press Release: "ClearGrid Innovations seeks to create a system of computer algorithms to recognize potential problems on the state electrical grid to improve response time. These include problems related to trees near lines, damage to poles and other infrastructure problems. The program will use 3-D imagery to create an algorithm to allow a quick comparison of normal and damaged lines."
For the Governor of New York's Press Release, Click Here