
Sensing Feeling
AI-powered visual analytics for safety and risk management.
Date | Investors | Amount | Round |
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- | investor | €0.0 | round |
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£110k | Grant | ||
Total Funding | 000k |
Sensing Feeling is a technology company specializing in visual sensing software for real-world environments to improve safety and security. Founded in 2016 by Jag Minhas, the London-based firm develops solutions that utilize computer vision, artificial intelligence, and deep learning for real-time behavior sensing. The technology is designed to analyze the actions of individuals, groups, vehicles, and other assets, providing businesses with the tools to manage safety and risk in critical operational settings. Key applications include trespass detection, suicide prevention, and identifying high-risk behaviors like panic in crowded locations.
The company's journey began with a UK Government-funded R&D grant in June 2016 for a collaboration with the University of Cambridge and Queen Mary University of London. This project focused on passive affect sensing using real-time deep neural networks. By May 2017, Sensing Feeling had developed its first working prototype, and its first patent application followed in October of the same year. The company secured its first external investment from R/GA Ventures in May 2018 and made its first commercial sale in June 2018. A significant milestone was reached in January 2019 when it joined the Wayra London innovation ecosystem, leading to partnerships with Telefónica's global enterprise channels. The company raised seed funding in September 2019 from investors including VGC Partners and ZAG Seed Fund. It has raised a total of $425K.
Sensing Feeling's platform is built on an architecture that scales across numerous cameras and supports a wide array of algorithms that can be dynamically selected for various use cases. It operates on commercially available off-the-shelf hardware, making it adaptable for clients. The business model appears to be B2B, offering its software and professional services to sectors such as transport infrastructure, telecommunications, marine, and construction safety. This approach enables clients to create a real-time 'Digital Twin' of their physical spaces for enhanced operational management.
Keywords: visual sensing software, computer vision, deep learning, artificial intelligence, risk management, public safety, IoT, real-time analytics, behavior sensing, smart cities, security technology, trespass detection, transport infrastructure, asset protection, situational awareness, operational intelligence, video analytics, edge computing, CCTV integration, machine learning