Vivacity Labs

About Vivacity Labs

Vivacity Labs provides AI-powered traffic monitoring technology to enhance urban mobility. The company was founded in London, United Kingdom on December 21, 2015, by Mark Nicholson (CEO), Peter Mildon (COO), and Yang Lu (CTO). The founders met at Cambridge University while on a student project to design, build, and race a solar-powered car. This experience led them to establish Vivacity Labs with the goal of using technology to create safer, smarter, and more sustainable cities. The firm develops and manufactures AI-powered computer vision sensors that gather anonymized, real-time data on traffic flow, transport modes, and travel patterns. This technology is designed to address key urban challenges such as traffic congestion, road safety, and sustainability. The sensors can accurately classify over 10 types of road users, including cars, pedestrians, cyclists, and HGVs, with a validated accuracy of over 97%. All data processing occurs on the sensor itself—a method known as edge processing—and the video footage is immediately deleted to ensure GDPR compliance and user privacy. Clients can access and analyze this data through an intuitive cloud-based dashboard and API, which supports integration with third-party systems. Vivacity's product suite includes solutions for Smart Traffic Monitoring, Smart Road Safety, and Smart Signal Control. One of its key offerings, 'Smart Junctions', uses AI to dynamically control traffic signals, optimizing traffic flow and prioritizing vulnerable road users or sustainable transport modes. The company serves government bodies, local councils, and transport authorities. Notable partnerships include projects with Transport for Greater Manchester and the Greater Cambridge Partnership to reduce congestion and promote active travel. The business model involves selling both permanent and portable sensors and providing data insights that help clients make informed decisions on infrastructure investment and transport strategy. Vivacity has expanded its operations internationally, with a presence in North America and Australia, and has installed over 6,000 sensors globally. Since its first funding round in 2017, the company has raised a total of $18.8 million over five rounds, including a Series A round of £5 million in 2021 and a Series B in 2023. Keywords: AI traffic monitoring, computer vision sensors, smart city technology, transport data analytics, urban mobility, traffic flow optimization, smart junctions, active travel data, road safety solutions, multimodal traffic analysis, intelligent transport systems, edge computing, traffic signal control, transport infrastructure, congestion reduction, real-time traffic data, anonymous data collection, pedestrian monitoring, cyclist detection, smart transportation