London-based edge AI infrastructure company Edgify raises €7.7 million to combat retail losses

Edgify, a London-based edge MLOps platform for physical retail providing the AI infrastructure to protect against in-store loss, has raised €7.7 million ($9 million) in Series A+ funding to accelerate the rollout of its platform.

The round was backed by Rank Ventures and Mangrove Capital Partners, bringing the company’s total funding to €21.6 million ($25 million).

Nadav Israel, CEO and Co-founder of Edgify, said, “We founded Edgify on a simple conviction: intelligence should live where data is created, and devices should learn as one. A store is a fleet of machines that can see, decide and learn together, without a single byte leaving the building. Retail is just the beginning. 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.

“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.”

Founded in 2019, Edgify is an edge AI infrastructure company enabling grocery retailers to combat shrink, drive operational efficiency, and elevate customer experience.

According to the company, its platform connects, orchestrates and trains AI models across in-store edge devices, such as self-checkouts, cameras, scales, and point-of-sale systems. The company 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.

This approach reduces cloud infrastructure costs, lowers latency, and ensures customer and operational data never leaves the store. Meanwhile, competitors rely on expensive servers in dedicated spaces that take many months to install, making their solutions impractical for standard stores.

The company claims to offer device and data orchestration, model training, deployment and an inference layer for the store. Edgify states that its edge AI technology enables retailers and hardware vendors to train, deploy and manage machine learning models directly on in-store devices, powering applications from loss prevention at self-checkout to produce recognition, without sending data to the cloud.

“Most AI systems rely on heavy infrastructure, constant connectivity and centralised control. That doesn’t scale in the real world. Edgify is different. Our technology runs and learns directly on edge devices, using local data to make fast, reliable decisions without relying on the cloud,” Edgify explained.

Edgify highlights that it provides a single, hardware-agnostic platform that runs across existing in-store equipment from numerous manufacturers, including major partners such as Zebra Technologies, Bizerba, and others.

Headquartered in London, Edgify works with leading grocery retailers and technology partners across the United States and Europe. Edgify’s technology claims to address a critical retail challenge: loss prevention. The startup recognises produce, identifies scan avoidance, product-switching, and cart-based loss to assist shoppers and staff in real time.

Over the next few months, Edgify will expand its platform to manage the complete lifecycle of AI models across physical retail.

Mitchell Goldman, COO at Edgify, said, “Retail is the ultimate testing ground for edge AI, because it has more smart devices per site than almost any other industry, and real-world constraints on cost, latency and privacy. Loss prevention is where the value shows up first, and it is why the world’s leading grocers are working with us today. But the real breakthrough is the underlying platform: translating isolated in-store hardware into a unified system for future AI applications. This funding lets us scale both the use cases and the Edgify platform itself.”

Edgify also reports that, beyond physical retail, its solutions are ready to be used across the broader industrial landscape, including transportation, logistics, manufacturing, and warehouse operations. As per the company, all these sectors face identical challenges such as a heavy reliance on legacy systems, cloud bandwidth constraints, and the uneconomic costs of deploying on-premises servers.