Veesion has raised $54.0M in total across 2 funding rounds.
Veesion's investors include 50 Partners Impact, White Star Capital, CapitalG, Cyberstarts VC, Elaia Partners, General Catalyst, Insight Partners, Iris Capital, Partech Ventures, Red Dot Capital Partners, Sequoia Capital, Sonorcap.
Veesion is a technology company that develops AI-powered video surveillance software for retail security. It integrates with existing cameras to analyze video feeds in real-time, detecting suspicious gestures associated with shoplifting—such as theft attempts—without requiring new hardware or facial recognition, thereby alerting staff proactively.[1][2][3][4] Serving retailers like grocery stores, pharmacies, convenience stores, cosmetics shops, hardware stores, and bookstores, Veesion solves the problem of retail shrinkage (inventory loss due to theft), which it claims to reduce by up to 60%, while enhancing staff efficiency and customer safety across thousands of stores in over 25 countries.[3] The company demonstrates strong growth momentum, with over 5,000 stores equipped worldwide and positive testimonials from managers at chains like 7-Eleven, IGA, Spar, and Intermarché, reporting tripled theft interventions, reduced staff stress, and immediate effectiveness.[3]
Veesion was founded in 2018 by three university students—Benoît Koenig, Thibault David, and Damien Ménigaux—who shared a passion for artificial intelligence and spotted untapped potential in applying Deep Learning to video analysis for retail security.[1] Starting in a dorm room, the trio developed a pioneering AI system to recognize "suspicious" gestures and alert on potential shoplifting, transforming traditional surveillance.[1] After three years of intensive research, development, and strategic hiring, Veesion established a foothold in France before expanding internationally, evolving from a student project into a global solution provider focused on privacy-friendly, intelligent security.[1]
Veesion rides the wave of AI-driven retail tech, capitalizing on surging demand for loss prevention amid global retail theft spikes—exacerbated by economic pressures and organized crime—while aligning with privacy regulations that limit traditional surveillance.[1][2][3] Its timing is ideal as Deep Learning matures for edge computing in video, enabling real-time analysis without cloud dependency or personal data risks, positioning it ahead of legacy CCTV systems.[2] Market forces like labor shortages and rising shrinkage costs (often 1-2% of sales) favor Veesion, influencing the ecosystem by empowering smaller retailers with enterprise-grade tools, fostering AI adoption in physical security, and setting benchmarks for ethical, non-intrusive tech.[3]
Veesion is poised to expand beyond theft detection into broader retail optimization, such as queue management or employee safety, leveraging its self-improving AI foundation.[1][2] Trends like edge AI proliferation, stricter data privacy laws, and retail automation will propel its growth, potentially doubling its store footprint amid e-commerce-physical retail convergence. As a dorm-room innovator scaled globally, Veesion exemplifies how student-led AI ingenuity pioneers privacy-friendly security, redefining retail resilience from the ground up.
Veesion has raised $54.0M across 2 funding rounds. Most recently, it raised $43.0M Series B in May 2025.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| May 1, 2025 | $43.0M Series B | 50 Partners Impact, White Star Capital | |
| Mar 1, 2022 | $11.0M Series A | CapitalG, Cyberstarts VC, Elaia Partners, General Catalyst, Insight Partners, Iris Capital, Partech Ventures, Red Dot Capital Partners, Sequoia Capital, Sonorcap, Brian O'Kelley, Rakesh K. Loonkar, Zohar Zisapel |
