Edgify raises €7.7M Series A+ to take its edge AI platform beyond retail

Edgify (London) has raised €7.7 million / $9 million in a Series A+ round backed by Rank Ventures and Mangrove Capital Partners, bringing total funding to €21.6 million / $25 million. The company was founded in 2019 by Nadav Israel (CEO), and operates as an edge MLOps platform for physical retail.

How the platform works

Edgify's premise is a constraint that every grocery retailer shares but few have solved at software scale: the most useful AI in a store is the AI that runs on the hardware that is already there — self-checkouts, cameras, scales, POS terminals — without requiring a dedicated server room, a cloud connection with acceptable latency, or months of installation. The company's platform connects all those devices into a single orchestration layer, trains AI models directly on each device using local data, and shares model improvements across the entire fleet without raw customer or operational data ever leaving the site.

The primary application is loss prevention: produce recognition, scan avoidance detection, product-switching identification, and cart-based shrink, flagged in real time to staff or shoppers at the point of interaction. Beyond detection, the platform claims to lower cloud infrastructure costs and reduce the latency gap that makes centralized AI impractical for real-time retail decisions. Hardware partners include Zebra Technologies and Bizerba.

"Most AI systems rely on heavy infrastructure, constant connectivity and centralised control," said Mitchell Goldman, COO at Edgify. "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."

Seven years on Series A territory

Edgify's timeline is worth stating plainly: founded in 2019, the company now carries $25 million in total capital across seven years and is still raising Series A+ capital. That is not a conventional venture trajectory. It is consistent with a company that has grown methodically in a market — grocery retail AI — where procurement cycles are slow, integration complexity is high, and customer trust requires demonstrated results in live store environments before expansion is approved.

The "A+" label signals this round is an extension or additional close on top of an existing Series A rather than a new round milestone. No lead investor is named, which is consistent with an extension closing rather than a competitive process. Rank Ventures and Mangrove Capital Partners are the named backers; neither is a household name in European deep tech, which suggests this capital is growth-oriented and relationship-driven rather than a signal of a competitive fundraise.

The industrial expansion question

The round's stated purpose is expansion beyond grocery: transportation, logistics, manufacturing, and warehouse operations. The company's claim is that those industries share the same fundamental challenge as grocery — fleets of devices operating under cloud-cost and latency constraints, generating data that cannot efficiently leave the facility. That is a genuine structural similarity. The execution risk is not the thesis but the specifics: grocery benefits from highly standardized hardware at the checkout; factory floors and distribution centres run on vastly more heterogeneous equipment, where the "hardware-agnostic" claim faces its hardest test. Edgify has solved grocery. Industrial is a different integration surface.