Electric Vehicles are being driven today. EV owners drive more miles per dollar, have a lower carbon footprint, and experience the thrill of instant acceleration that only EV’s deliver.
Nanogrid’s EV experts get you on the road at swingelectric.com.
Cost Simulation and Rate Optimization
Stop spending money on foreign oil and switch to domestic electricity.
Nanogrid simulation and optimization software helps homeowners understand the costs of switching to the cheapest electricity rate plan while maximizing rebates and incentives.
Solar and Storage
Whether minimizing costs, maximizing resilience, or just satisfying the desire of driving on homemade energy, adding solar and storage is often the right choice.
We work with industry partners and installers to get you the combination of devices and system sizes that make your energy guilt-free.
Customers | Partners
CTO & CoFounder
Dan is a software startup veteran. He has leveraged data to build many products varying from monitoring outbreaks of infectious diseases in healthcare to predicting and minimizing costs of multi-million dollar cloud infrastructure deployments to consumer-focused analytics platforms. Dan has led engineering teams, been the principal engineer at startups with successful exits, and holds a S.B. in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology.
CEO & CoFounder
Jon is a serial entrepreneur with a passion for solving impactful challenges with a sharp focus on product design. Out of Olin College of Engineering, Jon co-founded Technical Machine, a IoT company that made hardware development accessible to web and app developers. Technical Machine raised over $1MM from True Ventures, shipped more than 10k products and earned over $1MM in revenue. In 2017, Jon co-founded HC3 Energy, a company that provided Energy-as-a-Service to homeowners which merged with Nanogrid in 2018.
Patrick's passion is using software and optimization to solve sustainability problems. Prior to helping start Nanogrid, Patrick worked at Genability where he helped build the leading electricity rate engine. Before that, he developed image processing algorithms at Apple and applied unsupervised learning to data challenges at the U.S Dept. of Education. Patrick studied Computer Science at UC Davis and Environmental Engineering at Carnegie Mellon.