Retail loss-prevention startup Edgify secures $9M Series A+
London-based Edgify has closed a $9 million Series A+ funding round led by Rank Ventures and Mangrove Capital Partners, bringing the retail-focused AI startup’s total funding to $25 million as it looks to expand from grocery loss prevention into wider industrial markets.
Edgify’s platform links up the AI-capable hardware already sitting inside a store, including self-checkouts, cameras, scales, and point-of-sale terminals, and turns it into a single coordinated system. Rather than routing data to a central Cloud or requiring costly on-premise servers, the devices train and share models locally, an approach the company says cuts Cloud costs, reduces latency, and keeps customer and operational data inside the store.
The pitch is aimed at retailers’ loss-prevention budgets. Edgify’s software already flags scan avoidance, product-switching, and cart-based theft, and recognises produce, in live deployments with grocery chains across the US and Europe. The company frames this as a foothold in a $15.8 billion retail computer vision market, and a much larger $386 billion store loss-prevention opportunity, while positioning itself for the broader Edge AI market, which it expects to grow from roughly $36 billion to $386 billion by 2034.
The company argues its Edge-native model gives it an advantage over rivals that depend on dedicated server infrastructure, which it says can take months to install and makes solutions impractical for standard stores. Edgify already works with hardware partners including Zebra Technologies and Bizerba, and says its system is hardware-agnostic, running across equipment from multiple manufacturers.
CEO and co-founder Nadav Israel said the company was built on the idea that “intelligence should live where data is created, and devices should learn as one.” He described a store as “a fleet of machines that can see, decide and learn together, without a single byte leaving the building,” and said the new funding would help Edgify carry the intelligence layer it built for retail into other industries – pointing to early expansion into quick-service restaurants, distribution centres, and apparel as evidence the model can travel.
Edgify is betting that the same operational bottlenecks it has addressed in grocery – legacy systems, limited cloud bandwidth, and the expense of on-premise servers – show up across transportation, logistics, manufacturing, and warehouse operations, all sectors it now has in its sights.
Rajan Dosanjh, managing partner at Rank Ventures, said the firm backed the round because it sees Edgify as positioned to “become the core orchestration layer for physical retail AI today, with a clear path to owning the broader edge MLOps category in the future.” He argued that the companies that will win in AI are those that “own the point where data is created” – in physical retail, that’s the edge.
Edgify COO Mitchell Goldman said retail’s density of connected devices, combined with its tight constraints on cost, latency and privacy, makes it “the ultimate testing ground for edge AI.” Loss prevention is where customers see value first, he said, but the bigger opportunity is the underlying platform itself – “translating isolated in-store hardware into a unified system for future AI applications.”
The capital will go toward accelerating the platform’s rollout and, over the coming months, expanding it to manage the full lifecycle of AI models across physical retail sites.
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