About us
At Edgify we’re all about making AI technology feel easy. We can do this because our approach is different to other retail tech solutions.
Our Vision
To make AI solutions accessible to all businesses, in all sectors.
We want to see a world where AI solutions are highly scalable and easily accessible, empowering real-world enterprises to rapidly innovate and improve.
Our Mission
To leverage Computer Vision solutions that are low/no-code, cost-effective and privacy-first.
We want to help businesses harness the full potential of AI by using our unique Distributive Collaborative Framework technology.
2
Offices
20+
Team members
500+
Stores
2K+
Devices
The Future of Edgify
Pioneering the next generation of AI technology for real-world applications.
Edgify began life as an AI framework tech company. We developed a unique collaborative system we called a Distributive Collaborative Framework. If you want to read more about our technology, take a look at our paper A Hierarchical Framework for Collaborative Artificial Intelligence on the White Rose open access research portal.
But, if you want to skip the technical details, you could say that, in a nutshell, our tech is different because we don’t need servers, cooling systems, and all the equipment that our competitors need. Our framework trains the AI by leveraging local, onsite customer data which is located at ‘the edge’ of the network. That’s why we’re called Edgify, because we operate ‘at the edge’.
Chances are you found us because you’re in retail and you’re looking for ways to fight shrink and improve the shopping experience for your customers and your staff. But Edgify has big plans for the future. We are committed to make AI accessible, scalable, and transformative to businesses in all sectors, all over the world.
Our People
Come join us at the Edge
Available job openings are listed below.
Senior Data Analyst
We are looking for a highly skilled and experienced Senior Data Analyst to
join our growing team.
This role bridges the gap between data analysis,
business strategy, and impactful storytelling.
The ideal candidate will analyse
complex datasets, deliver actionable insights, and collaborate closely with
senior stakeholders—particularly in retail.
If you thrive on turning raw data
into compelling narratives, creating intuitive visualisations, and driving
business decisions, we’d love to hear from you!