In a world where speed and convenience define customer experience, waiting in line to pay for food is quickly becoming outdated. VisioLab is aiming to eliminate that friction entirely. The company has secured $11 million in Series A funding to expand its AI powered visual self checkout technology, bringing faster and smarter payment experiences to food service environments worldwide.
Strong Investor Support for Next Phase
The funding round was co led by eCAPITAL Entrepreneurial Partners and Simon Capital, with continued backing from existing investors including High-Tech Gründerfonds, zwei.7, and Heartfelt.
This investment marks a key milestone for VisioLab as it scales its operations and strengthens its presence across international markets.
Transforming Checkout with Computer Vision
Founded in 2019 and headquartered in Germany, with an additional office in the United States, VisioLab has developed a unique checkout system powered by computer vision and edge artificial intelligence.
The company’s solution uses an iPad based interface to recognise both packaged and unpackaged food items instantly, removing the need for barcode scanning. This allows customers to complete transactions quickly and seamlessly, while operators benefit from a streamlined checkout process.
Unlike traditional systems, VisioLab’s technology does not require major infrastructure changes, making it easy to deploy across a wide range of venues.
Faster Transactions and Easy Setup
One of the standout advantages of VisioLab’s platform is its impact on transaction speed. According to operator reported data, the system can reduce checkout times by up to 70 percent. This improvement not only enhances customer satisfaction but also increases throughput during peak hours.
Additionally, the system is designed for simplicity. Existing staff can set it up in approximately ten minutes, eliminating the need for extensive training or specialised technical support.
Expanding Across Diverse Sectors
VisioLab’s technology is already being used in a variety of environments, including corporate dining facilities, universities, sports venues, and travel hubs. These sectors often deal with high volumes of customers and require efficient service to maintain smooth operations.
Recent large scale deployments highlight the company’s growing footprint. These include stadium wide rollouts at major venues such as the home arena of the Orlando Magic and facilities used by Inter Miami CF. The company is also working with Live Nation Entertainment to expand its presence in the live entertainment sector.
Introducing an All in One Checkout Platform
Alongside the funding announcement, VisioLab is launching a fully integrated checkout to payment platform. This new system combines item recognition, point of sale software, and payment processing into a single solution.
By eliminating the need for separate payment terminals, the platform reduces operational complexity and lowers costs for businesses. It also ensures a smoother and more consistent user experience for customers.
Simplifying Procurement with B2B E Commerce
To further support its growth, VisioLab is introducing a B2B e commerce channel that allows operators to configure and order systems online. This feature is particularly valuable for organisations managing multiple locations, as it simplifies procurement and accelerates deployment.
The move reflects the company’s focus on scalability and ease of adoption, making its technology accessible to a broader range of customers.
Scaling Globally with Fresh Capital
With the new funding, VisioLab plans to accelerate its international expansion and continue refining its technology. The company is building on its recent successes to establish itself as a global leader in AI driven checkout solutions.
As consumer expectations evolve and businesses seek more efficient ways to serve customers, VisioLab’s approach represents a significant shift in how transactions are handled. By combining speed, accuracy, and simplicity, the company is helping redefine the future of food service experiences.