Verv

Founded in 2009 by Peter Davies, Verv, operating under Green Running Limited, specializes in high-resolution energy data acquisition and AI for the electricity sector. The company's core technology, Verv Connect™, uses patented AI and high-frequency data sampling to monitor electrical loads like HVAC systems. This enables predictive maintenance by detecting component fatigue and operational anomalies before failure, aiming to reduce energy waste and enhance appliance sustainability.

Verv originated from academic research into energy data acquisition techniques and initially focused on the smart home market with the Verv Home Hub, an energy monitor providing real-time, appliance-level consumption data. The company has since pivoted to commercial applications, particularly for HVAC systems in buildings, helping clients meet sustainability targets like LEED and BREEAM certifications. The business model includes hardware sales of smart isolators and plugs, software and data licensing, and intellectual property sales, which generated over $1 million in 2023. The company serves building managers and sustainability leaders, providing data through a web portal or direct integration with Building Management Systems (BMS).

Historically, Verv has also explored peer-to-peer energy trading using blockchain, conducting the UK's first such trade on a housing estate in 2018. The company has received significant funding, including over £10 million by 2019 from investors like Centrica, Crowdcube, and Earthworm, and has participated in multiple accelerator programs. With 13 patents granted globally, Verv has been recognized with industry awards, including the 'Air Conditioning Product of the Year' in 2022.

Keywords: predictive maintenance, HVAC energy monitoring, AI energy analytics, electrical data acquisition, appliance fault detection, smart building technology, energy efficiency, non-intrusive load monitoring, smart isolators, cleantech, proptech, real-time energy data, carbon reduction, sustainability reporting, component fatigue analysis, building management system integration