Veesion Funding News- French Startup Veesion Raises €53Mn To Stop Shoplifting With AI That Understands Gestures

The round was led by White Star Capital, Red River West, and Bpifrance, with continued support from existing investors Odyssée Ventures, Verve Ventures, and Founders Future.

The funding will help Veesion expand globally and apply its technology to new settings and use cases.

“We founded Veesion with one ambition: to become a global leader in intelligent gesture analysis. We’ve developed a one-of-a-kind AI that today identifies risky movements, and tomorrow will provide retailers with broad support to better manage their stores and customers. This fundraising will help us structure further, rapidly accelerate our international expansion, and recruit top talent.

“We’re proud to bring new investors on board while gaining renewed support from our historical partners. Veesion and its team are giving themselves the means to achieve their ambition: to become a French global champion in computer vision,” shared Thibault David, CEO and Co-founder of Veesion.

The founders of Veesion saw this gap and spent three years creating a solution designed specifically for real-world stores.

“As a pioneer in its field, with a fully integrated and scalable AI model, Veesion stands as a true disruptive player in the retail sector. As it accelerates development, its AI-powered solution is poised to make commercial spaces safer worldwide and relieve professionals in the industry. We are very pleased to support the company in this new phase of growth and international expansion,” said Matthieu Lattes, General Partner at White Star Capital.

At the heart of Veesion’s platform is AI that recognizes gestures from in-store video to spot suspicious behavior—without using biometrics or storing personal data.

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The system works with existing store setups and doesn’t need extra hardware. Staff get real-time alerts through a mobile app. Veesion’s simple, privacy-friendly design has helped it grow quickly—now used in over 5,000 stores across 25 countries, from small shops to big supermarket chains.

Clients say they’ve seen shrinkage drop and profits improve, sometimes by as much as 50%.

“Veesion has developed a powerful gesture recognition tool aimed at understanding the physical world, with an initial focus on helping retailers tackle shrinkage – a major margin issue in the sector. With rapid growth over the past three years, Veesion will now be able to accelerate further in strategic markets, especially in the U.S. through the opening of its subsidiary,” said Luc-Emmanuel Barreau, Partner at Red River West.

The new funding will help Veesion grow in important markets, especially the United States. Even without a local office, the US already makes up 10% of their revenue.

In June 2025, co-founder Benoit Koenig will move to the US to open Veesion’s first office there and strengthen its presence in a market with strong demand for retail security tech.

The company plans to hire over 80 new employees, adding to its current 150 staff. It also wants to expand its AI beyond theft detection, working on features like helping with restocking, improving the customer experience, and monitoring incidents inside stores.

Veesion also sees opportunities in other fields such as healthcare, childcare, warehousing, and construction, where its gesture-based AI could boost safety and efficiency.

“Thanks to its unique proprietary dataset and unmatched accuracy, Veesion is the only solution capable of detecting theft gestures in real time. It is redefining retail security standards – and has all it takes to become the leader in the U.S. market. We are delighted to support Veesion in its international expansion through our Digital Venture fund,” added Tuan Tran, Senior Investment Director at Bpifrance.

About Veesion

Founded in 2018, Veesion addresses a common problem in retail: theft. Traditional surveillance systems mostly record footage that often goes unwatched because stores lack enough staff or resources. While online stores have fraud protection and real-time data, physical stores have fallen behind.