Veesion, a Paris-based AI startup, has just announced a remarkable $60,355,184 in funding, fueling its mission to bring real-time theft detection technology to global retailers. Founded by Thibault David, the company is making waves in the physical security landscape by combining computer vision with artificial intelligence to detect suspicious behavior inside stores.

The round saw participation from an impressive lineup of investors, including White Star Capital, Red River West, Bpifrance, ODYSSEE Venture, Verve Ventures, and Founders Future. This investment marks a major milestone not only for Veesion but for the broader AI-in-retail market.

---

What Veesion Offers

At the core of Veesion’s technology is a real-time AI engine that analyzes surveillance footage and flags behaviors indicative of theft. Unlike traditional security systems that rely on human monitoring, Veesion’s algorithm continuously scans video feeds and sends alerts directly to store personnel when anomalous activity is detected.

• Computer vision detects micro-gestures, such as hand movements, item concealment, or unusual pacing
  
• Machine learning models are trained on thousands of hours of retail footage across different geographies and store types
  
• Real-time alerts sent to tablets or smartphones empower staff to intervene immediately
  
• Retail integrations allow seamless deployment without overhauling existing CCTV infrastructure
  

Veesion doesn't just notify when a theft occurs - it detects before it happens, based on behavioral cues. This proactive approach significantly reduces losses and improves safety for employees and customers alike.

---

Market Timing: AI in Retail Security Is Surging

Veesion’s momentum comes at a crucial moment for the retail industry. According to the National Retail Federation (NRF), shrinkage - which includes theft, fraud, and errors - cost U.S. retailers $112 billion in 2022, a 20% increase from 2021.

Across Europe, retail theft has also seen a sharp uptick, driven by inflation and organized retail crime. Loss prevention is no longer a cost center - it’s now a boardroom priority. Global security budgets are increasing, with AI-enabled systems projected to comprise a major share.

• The global video surveillance market is expected to grow from $54 billion in 2023 to over $92 billion by 2030
  
• AI-based video analytics is growing at a compound annual growth rate (CAGR) of 23.4%
  
• Over 60% of retailers plan to invest in intelligent surveillance systems by 2026
  

As the costs of false positives and manual review rise, Veesion’s automation-first approach meets the need for high accuracy, low friction theft detection.

---

How Veesion Stands Out in a Crowded Market

There are several startups dabbling in AI surveillance, but few have specialized in retail behavior at Veesion’s level of granularity. Their models aren’t just trained on general activity - they’re specialized in the nuances of shopper behavior across multiple cultural contexts.

More importantly, Veesion’s focus isn’t on replacing guards or adding more cameras. It’s about turning existing systems into smart, reactive allies. This also lowers implementation costs, a major barrier to adoption in large multi-store chains.

---

Here’s the key insight most founders miss:

You don't have to solve the whole problem - you only have to solve the part no one else sees coming.

Veesion understood that theft doesn’t happen at checkout or in the back office. It happens in the moment someone conceals an item. That moment is invisible to inventory systems and missed by distracted staff. Their entire tech stack is built around that critical 3-second decision window.

This teaches a powerful lesson for any founder working in B2B tech: Find the most ignored 3-second failure point in your industry, and build an AI that never misses it.

---

Traction and Global Expansion

Since its founding, Veesion has expanded rapidly beyond France. Their AI is currently used in thousands of retail locations across Europe, North America, and Australia. Clients include pharmacies, convenience stores, supermarkets, and luxury goods retailers.

Their plug-and-play model allows for deployment in under a day, which has dramatically accelerated adoption. Veesion’s alert system is designed to work in any language and is GDPR-compliant, easing security and privacy concerns across global markets.

---

Post-Funding Roadmap

With this significant new capital, Veesion is focused on:

• Hiring top AI talent to further refine detection algorithms
  
• Expanding into the U.S. and Asia-Pacific markets
  
• Launching new products focused on employee fraud, vandalism, and loss tracking
  
• Building dashboards and APIs to integrate with broader retail management tools
  
• Establishing a certification program for loss prevention teams using their system
  

This multi-pronged expansion ensures that Veesion can serve everything from single-location retailers to multi-country chains, regardless of infrastructure or bandwidth.

---

Founder Insight and Vision

Thibault David is a physicist turned entrepreneur who saw a massive data gap in retail. Despite billions spent on inventory and sales analytics, almost no attention was paid to behavioral visibility on the floor. His thesis? Cameras were plentiful, but insight was scarce.

Veesion’s long-term vision is to become the behavioral intelligence layer for all physical retail environments. From shoplifting to insurance fraud to emergency response, their AI aims to become a silent guardian - present in every frame but unnoticed until it’s needed.

---

A New Standard in Loss Prevention

Veesion is reshaping what it means to “watch” in the modern store. Not with more eyes, but with smarter eyes. In a time where every margin counts and security concerns rise, their system offers both protection and peace of mind.

Retail is evolving fast - but bad actors still rely on old habits. Veesion's AI doesn’t just see them. It understands them.