AI startup Edgify raises £6.7m led by Rank Ventures with Mangrove Capital Partners
This article covers Edgify, an AI startup, which has raised £6.7m in a series A funding round to speed the rollout of its edge AI platform for physical retail. The funding is intended to accelerate commercial rollouts and broaden the platform's use cases, supporting retailers and other sectors with fleets of devices by enabling local data processing, lower latency and reduced infrastructure costs.
Edgify, a London-based AI startup, has raised £6.7m in a series A funding round from Rank Ventures and Mangrove Capital Partners to speed the rollout of its edge AI platform for physical retail. The funding — part of a total £19m raised to date — matters because the company is pitching a privacy-focused, hardware-agnostic alternative to cloud-first retail AI, claiming lower latency, reduced infrastructure costs and local data processing across existing in-store devices.
Why it matters
Retail sites are dense with sensors and terminals, and running AI at the edge can cut costs and improve response times compared with sending data to central cloud servers. Edgify’s approach attempts to turn dispersed devices into a single orchestration layer so models train and share insights locally without raw data leaving the store. If it scales, retailers could deploy computer vision and loss-prevention tools faster and with fewer upfront server costs.
The announcement lands as the edge AI market is projected to expand sharply over the next decade, and as retailers look to contain shrink and fraud while protecting customer data. Edgify says it is targeting a $15.8bn retail computer vision market and points to deployments with grocers in the US and Europe as proof points.
Inside the product
Edgify’s platform runs across existing in-store hardware such as self-checkouts, cameras, scales and point-of-sale systems, and is hardware-agnostic with integrations for manufacturers including Zebra Technologies and Bizerba. The platform coordinates models across devices so they can learn locally and share updates without uploading raw footage or transactional data to the cloud.
Core use cases demonstrated in grocery include produce recognition and detection of scan avoidance, product-switching and cart-based loss, providing alerts or assistance to staff and shoppers in real time. The company says the same orchestration concept can be applied beyond retail in sectors with fleets of devices, including transportation, logistics, manufacturing and warehouses, where bandwidth and legacy systems are common constraints.
Who are the investors?
The round was backed by Rank Ventures and Mangrove Capital Partners. The £6.7m infusion brings Edgify’s total funding to £19m and is intended to accelerate commercial rollouts and broaden the platform’s use cases.
In the announcement, Rajan Dosanjh, Partner at Rank Ventures, said:
The winners in AI will be the companies that own the point where data is created, and in physical retail, that point is at the edge. Edgify has spent years building technology that trains and runs models on ordinary in-store hardware, and its traction with major grocers and partners like Zebra shows the market is more than ready. We backed this round because Edgify is uniquely positioned to become the core orchestration layer for physical retail AI today, with a clear path to owning the broader edge MLOps category in the future.
Rationales cited by investors focus on Edgify’s partner integrations, live retail deployments and an execution path from loss prevention to other operational applications.
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Founder perspective
In the announcement, Nadav Israel, Co-founder & CEO at 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.
In the announcement, 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.
The bigger picture
Edgify’s raise highlights two broader trends for UK and European tech observers. First, interest in edge-first architectures is growing as businesses weigh privacy, latency and infrastructure costs alongside model performance. Second, retail remains a fertile proving ground for applied AI: it offers dense hardware footprints and immediate ROI opportunities such as loss prevention and checkout automation.
For the UK and European ecosystem, the deal is another signal that investors are willing to back infrastructure plays that sit between hardware vendors and cloud providers. If Edgify can standardise orchestration across diverse device fleets and replicate its grocery wins in adjacent industries, it may help define how physical sites adopt AI without heavy cloud dependency.
They've invested in Edgify
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| Investors | Investment Focus | Startup Investments | Round Size | Connect |
|---|---|---|---|---|
 Rank Ventures( ) London  | ||||
 Mangrove Capital Partners( ) , US  | EdgifyTravelNest | |||
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