Edgify has raised $9 million in a Series A+ round led by Rank Ventures and Mangrove Capital, bringing its total funding to $25 million. The startup aims to expand its edge AI platform in retail, connecting existing in-store hardware without cloud uploads.
TL;DR
- Edgify raises $9M to scale its edge AI platform in retail, reaching $25M total funding.
- The startup connects existing in-store hardware like cameras, scales, and checkouts without new hardware or cloud uploads.
- Edgify is live with grocers across the US and Europe and plans to expand into QSR and apparel.
What happened
Edgify, a London-based startup, has raised $9 million in a Series A+ funding round from Rank Ventures and Mangrove Capital. This brings the company's total funding to $25 million, according to Edgify. The startup's edge AI platform connects existing in-store hardware like cameras, scales, and checkouts without the need for new hardware or cloud uploads. Edgify is already live with grocers across the US and Europe and plans to expand into quick-service restaurants (QSR) and apparel.
The startup was initially founded as Pixoneye, a photo app that analyzed personal photo galleries on smartphones. When that business struggled to find a market, the engineering team repurposed the underlying edge-computing technology for retail applications. Edgify launched out of that pivot in 2019. The platform runs its software across a store's existing self-checkouts, cameras, scales, and point-of-sale terminals, regardless of manufacturer. Each device trains a model locally and shares what it learns across the network, without sending raw video or transaction data to a central server.
Why it matters
Edgify's edge AI platform cuts cloud costs and latency while keeping customer data inside the store. This approach could be a significant advantage for retailers looking to implement AI solutions without the need for new hardware or extensive installations. The startup is chasing a slice of the retail computer vision market, which it puts at $15.8 billion, amid a much larger shift in AI investment from the cloud to physical infrastructure.
The global edge AI market is projected to grow from roughly $36 billion today to $386 billion by 2034. Edgify's point of difference, per the company, is avoiding the dedicated servers and lengthy installs that other approaches typically require. However, whether that is a durable edge or just a cheaper on-ramp isn't tested at scale yet. The startup plans to use the new capital to accelerate its platform rollout with existing grocery retailers and hardware partners, and to expand beyond loss prevention into quick-service restaurants, distribution centers, and apparel.
Key facts
- Edgify raises $9 million in Series A+ round from Rank Ventures and Mangrove Capital.
- Total funding reaches $25 million, according to Edgify.
- The startup's edge AI platform connects existing in-store hardware without new hardware or cloud uploads.
- Edgify is live with grocers across the US and Europe and plans to expand into QSR and apparel.
- The retail computer vision market is valued at $15.8 billion, according to Edgify.
- The global edge AI market is projected to grow from $36 billion to $386 billion by 2034.
- Edgify was initially founded as Pixoneye, a photo app that analyzed personal photo galleries on smartphones.
- The startup plans to use the new capital to accelerate its platform rollout and expand into new verticals.
Context
Edgify's raise comes alongside a run of similar European deals on physical AI. SuperSeed's 50 million pound Physical AI fund backs seed-stage startups automating manufacturing and energy infrastructure. Berlin's Almetra raised 16.3 million euros to turn factory-floor camera feeds into real-time production data, and Kristiansand's HIVE raised $15 million to retrofit AI onto existing wheel loaders and forklifts. Different verticals, same wager: AI's next value pool sits on the shop floor, not in a data center.
Edgify is not the only company chasing this. Trigo and AiFi both sell computer vision systems for cashierless stores, and Everseen focuses specifically on loss-prevention analytics at checkout. However, Edgify's point of difference is its approach to using spare compute on hardware that stores have already paid for, avoiding the need for dedicated servers and lengthy installations.
