Edgify, a provider of AI infrastructure to protect in-store loss for physical retail, has raised $9m (£6.7m) in Series A+ funding.
The London-based startup will use the capital to accelerate the rollout of its platform, which connects, orchestrates and trains AI models across in-store edge devices such as self-checkouts, cameras, scales and point-of-sale systems.
Edgify converts these devices into a single coordinated intelligence layer, enabling hardware to learn locally and share insights across an entire network without raw data being sent to the cloud. The company says this approach reduces cloud infrastructure costs, lowers latency and ensures customer and operational data never leaves the store.
Having proven its core model in grocery retail through deployments with grocery retailers across the US and Europe, Edgify says its technology is targeting a $15.8bn (£11.7bn) retail computer vision market by addressing loss prevention, a critical retail challenge.
Rank Ventures and Mangrove Capital Partners invested in the Series A+ round, which brings the company’s total funding to $25m (£18.5m).
“The operational friction Edgify has solved in grocery and convenience stores can be replicated in any industry where fleets of devices meet the physical world, as demonstrated by our expansion into QSR, distribution centres and apparel,” says Nadav Israel, CEO and co-founder of Edgify.
“This funding will fuel our growth, enabling us to take the intelligence layer we’ve built for retail and deploy it across the global industrial landscape, turning millions of isolated machines into self-learning real-time networks that operate independently of the cloud.”
