Edge AI infrastructure company Edgify has raised $9 million in Series A+ funding to accelerate the rollout of its platform for physical retail and expand its technology into other industries. The round was backed by Rank Ventures and Mangrove Capital Partners, bringing the company's total funding to $25 million.
Edgify develops AI infrastructure that connects and orchestrates models across edge devices such as self-checkouts, cameras, scales and point-of-sale systems. Rather than relying on centralised cloud infrastructure, its platform enables devices to process data and learn locally while sharing insights across a wider network, without sending raw data to the cloud.
By turning existing hardware into a coordinated intelligence layer, Edgify aims to reduce cloud infrastructure requirements and latency while keeping customer and operational data within the store. Its hardware-agnostic platform can operate across equipment from different manufacturers, including technology from partners such as Zebra Technologies and Bizerba.
The company has initially focused on grocery retail, where its platform is deployed with retailers across the United States and Europe to address loss prevention. Edgify's computer vision technology can recognise, produce and detect behaviours associated with retail losses, including scan avoidance, product switching and items missed in shopping carts, providing real-time assistance to shoppers and store employees.
Building on its presence in grocery retail, Edgify is expanding into convenience stores, quick-service restaurants, distribution centres and apparel. Longer term, the company sees applications across transportation, logistics, manufacturing and warehouse operations, where organisations face similar challenges related to legacy hardware, cloud bandwidth and the cost of deploying dedicated on-premise infrastructure.
The expansion comes as adoption of edge-based artificial intelligence continues to grow. The global Edge AI market is projected to increase from $36 billion to approximately $386 billion by 2034, while Edgify is initially targeting the $15.8 billion retail computer vision market.
We founded Edgify on a simple conviction: intelligence should live where data is created, and devices should learn as one. 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,
said Nadav Israel, CEO and co-founder of Edgify.
The new funding will support Edgify's growth as it takes the infrastructure developed for retail into a wider range of industrial environments, connecting currently isolated devices into real-time networks capable of operating independently of the cloud.
Would you like to write the first comment?
Login to post comments