Tel Aviv-based edge AI infrastructure startup Edgify has closed a $9 million Series A+ round led by Rank Ventures with participation from Mangrove Capital Partners, bringing the company's total funding to $25 million. The new capital will accelerate the rollout of Edgify's distributed intelligence platform for physical retail and extend it into transportation, logistics, manufacturing and warehouse operations.
Distributed intelligence on the store's own hardware
Edgify's platform coordinates machine-learning models directly across the devices retailers already own — self-checkouts, cameras, scales and point-of-sale systems — so those devices train and infer locally, then share insights across a wider fleet without sending raw data to the cloud. That architecture cuts cloud bandwidth, reduces latency and keeps customer and operational data inside the store, and it is hardware-agnostic across equipment from partners such as Zebra Technologies and Bizerba.
Loss prevention as beachhead
The company has been most active in grocery, where its computer-vision layer flags scan avoidance, product switching and items missed at self-checkout in real time and hands assistive prompts to shoppers and associates. Edgify says the platform now runs on more than 8,000 devices across 12 countries and is initially targeting a $15.8 billion computer-vision-for-retail market inside a broader edge AI category expected to grow from roughly $36 billion today to about $386 billion by 2034.
Beyond grocery
Edgify plans to push into convenience stores, quick-service restaurants, distribution centres and apparel first, then into industrial verticals with similar constraints — legacy hardware, thin bandwidth, and the cost of standing up dedicated on-premise inference. "We founded Edgify on a simple conviction: intelligence should live where data is created, and devices should learn as one," said CEO and co-founder Nadav Israel. "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."
Edge-AI momentum
The round comes as investors continue to plow capital into on-device AI silicon and orchestration. Recent deals in the same lane include Point2 Technology's $136M Series B for edge networking silicon, Velaura AI's $110M Series A for power-efficient inference, and Micron Ventures' $250M Paradigm Fund for AI startups.
Reporting based on coverage from Tech.eu, Tech Funding News and Unite.AI.