Aura Vision

Aura Vision is a retail technology company providing AI-based in-store visitor insight solutions for offline retailers. Founded in 2017 by Jonathon Blok, Jaime Lomeli-Rodriguez, and Daniel Martinho-Corbishley, the company is headquartered in London, United Kingdom. The founders, who have PhDs in Computer Vision and Machine Learning from the University of Southampton, developed the core technology to leverage existing security cameras for detailed customer analytics. The company's journey included participation in the Y Combinator accelerator in early 2019, which helped them raise a seed round of funding.

Aura Vision's business model is subscription-based, offering a plug-and-play solution that integrates with a store's existing CCTV infrastructure. This approach avoids the need for additional hardware, making it a cost-effective solution for retailers. The company's AI and computer vision technology analyzes video footage to provide anonymous data on customer demographics, footfall, dwell times, movement patterns, and engagement with products. This allows brick-and-mortar stores to gain insights comparable to those available to e-commerce websites, enabling them to optimize store layouts, staffing, marketing campaigns, and overall customer experience to increase conversion rates. The system provides a dashboard with data visualizations and can be integrated with a client's existing business intelligence platforms via an API. While providing deep analytics, the platform is designed to be GDPR compliant and protects the privacy of individuals by not tracking specific people but rather aggregating data into blocks of time.

Keywords: retail analytics, computer vision, in-store analytics, customer demographics, footfall analysis, visitor tracking, AI in retail, security camera analytics, brick-and-mortar retail, customer experience, staff optimization, conversion rate optimization, deep learning, machine learning, shopper behavior, retail data, GDPR compliant analytics, store performance, customer journey analysis, retail technology