Experts in high frequency energy disaggregation, we are the creators of home energy assistant, Verv. We use AI to bring you the most advanced insights into your home appliance usage so you can save money on your energy bills and keep your home safe.
We’ve built a peer-to-peer energy trading platform that enables households with solar panels to sell excess energy they generate directly to their neighbours, improving access to cheaper, green energy.
We’re Democratising Data
At Green Running, we’re on a mission to democratise data; unscrambling vast amounts of data from electricity usage and handing it back to the user in a form that helps them actively create positive change.
We are a London-based team of Data Scientists and Machine Learning experts specialising in high-frequency disaggregation and data analytics in the energy sector.
We use Non-Intrusive Load Monitoring (NILM) and advanced machine learning algorithms to disaggregate and analyse electricity data down to individual appliance level.
We want to reduce environmental impact by making buildings smarter and more efficient. Understanding how buildings use power is the first step.
“Smart Meters are being rolled out across homes but they simply don’t provide enough detail to tell the consumer what is actually costing them money. They just provide a total cost of your electricity usage.
We are able to sample data at extremely high frequencies enabling us to read the ‘energy signature’ of individual electrical appliances. This means we can show the user in real time how much their appliances are costing them, in addition to an array of other smart home functionality the more we get to know your home.”
Peter Davies, CEO & Founder of Green Running
Join our Team
We are a growing team based in London Bridge and are always on the lookout for talented individuals who want to make a difference. If you’re enthusiastic, excited by advancing technologies and love turning data into a useful asset, we want to hear from you!