London’s Edgify has banked €7.7M ($9M) in Series A+ funding to push its edge AI platform deeper into physical retail. Rank Ventures and Mangrove Capital Partners backed the round, lifting the company’s total funding to €21.6M ($25M).
Edgify builds AI infrastructure that runs directly on in-store devices, letting grocery and convenience chains detect theft, track shelves and cut operational losses without shipping data to the cloud. Its pitch is that intelligence should live where data is created, with a fleet of cameras and sensors learning as one unit.
The company says the model has been proven in grocery and convenience stores and is now expanding into quick-service restaurants, distribution centres and apparel. “Turning millions of isolated machines into self-learning real-time networks that operate independently of the cloud” is the goal, said CEO and co-founder Nadav Israel.
Retail shrink is a growing problem for chains, and edge deployment sidesteps the latency, bandwidth and privacy concerns that have slowed cloud-based computer vision at scale. Edgify claims its systems help retailers combat loss while improving checkout and customer experience.
Founded in 2019, the startup competes with a wave of computer-vision loss-prevention vendors, but argues its decentralized approach gives it an edge in stores with poor connectivity or strict data rules.
