EVERYANGLE Raises €2.7 Million in Funding  

by Kay Aloha Villamor November 1st, 2022

EVERYANGLE, a Dublin, Ireland-based tech startup that provides computer vision solutions, secured €2.7 million in funding. 

The investment round was co-led by Sure Valley Ventures, Act Venture Capital, and Furthr VC, with participation from Enterprise Ireland.

EVERYANGLE will use the investment to accelerate sales, invest in ongoing product development, and drive further expansion in the US and UK.

In addition, the company plans to increase headcount over the next 24 months, with recruitment underway for key hires in machine learning, data science, software engineering, product management, and sales.

EVERYANGLE CEO David Owens commented: “We’ve developed long-term partnerships with customers who trust our expertise to successfully address and solve even their most complex business problems. Having had a positive response from the market to date, particularly in the USA, we look forward to accelerating our sales, implementing our product roadmap, and growing our team over the coming months.”

EVERYANGLE has developed strategic go-to-market partnerships enabling them to serve a range of sectors globally, including retail, hospitality, and convenience service stations. Its customers include Mulberry, Peloton, and Oxford Industries.

Company: Everyangle Ltd.

Raised: €2.7M

Round: Unknown 

Funding Month: October 2022

Lead Investors: Sure Valley Ventures, Act Venture Capital, and Furthr VC

Additional Investors: Enterprise Ireland

Company Website: https://everyangle.ai/

Software Category: Computer Vision Solutions

About the Company: Founded by David Owens in 2019 in Dublin, EVERYANGLE is a computer vision solution that helps retailers, hospitality providers, and convenience station operators gain rich in-store customer insights, reduce loss, and optimize their operations. Its platform uses computer vision and machine learning to analyze CCTV footage for events of interest without human review. EVERYANGLE’s unique platform analyses video footage rapidly and cost-effectively at scale. It utilizes CCTV cameras and computer vision applications to make sense of complex visual data, and transform it into crystal clear, actionable insights. 


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