About VisioLab

VisioLab employs human-centric artificial intelligence to transform complex data insights into actionable strategies, enhancing data-driven decision-making for businesses. This platform improves operational efficiency by streamlining the integration of diverse data sources into coherent, strategic actions.

```xml <problem> Traditional barcode-based self-checkout systems in food service environments can be slow and cumbersome, leading to long lines and customer frustration. Existing systems often require manual barcode scanning, which can be difficult or impossible for unpackaged items or when barcodes are damaged. This results in increased wait times, reduced transaction throughput, and potential revenue loss for food service providers. </problem> <solution> VisioLab offers an AI-powered visual self-checkout system designed to streamline transactions in cafeterias, restaurants, and other food service venues. Utilizing advanced visual recognition technology, the system instantly identifies items placed under an iPad camera, eliminating the need for barcode scanning. This allows customers to simply place their items, have them recognized in real-time, and pay, significantly reducing transaction times. The system is designed for speed and simplicity, enabling a more efficient and convenient self-checkout experience for both customers and operators. </solution> <features> - Real-time product scanning using an iPad camera and AI-powered visual recognition - Barcode-free transactions for faster and more convenient checkout - Capability to recognize multiple items simultaneously (up to 10 comfortably) - Intuitive user interface for easy training and operation - Cross-selling feature to enhance product selection with targeted recommendations - Ad-Spaces feature to position advertisements for maximum impact - GDPR compliance with data protection measures, including automated blurring of non-food items and on-device data processing - Fast installation, typically less than one hour </features> <target_audience> VisioLab primarily targets campus canteens and cafeterias, company catering and restaurants, and sports and entertainment venues such as arenas, stadiums, and convention centers. </target_audience> <revenue_model> VisioLab generates revenue by selling their self-checkout solution to food service providers. While exact pricing details are not provided, the company encourages potential customers to contact them for a demo and pricing information. </revenue_model> ```

What does VisioLab do?

Where is VisioLab located?

VisioLab is based in Osnabrück, Germany.

When was VisioLab founded?

VisioLab was founded in 2019.

How much funding has VisioLab raised?

VisioLab has raised 4590000.

Location

Osnabrück, Germany

Founded

2019

Funding

4590000

Employees

27 employees

Major Investors

HTGF | High-Tech Gruenderfonds

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VisioLab

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Executive Summary

visiolab.io 2K+

Crunchbase

Founded 2019 – Osnabrück, Germany

Funding

Estimated Funding

$3M+

Major Investors

HTGF | High-Tech Gruenderfonds

Team (25+)

No team information available.

Company Description

Problem

Traditional barcode-based self-checkout systems in food service environments can be slow and cumbersome, leading to long lines and customer frustration. Existing systems often require manual barcode scanning, which can be difficult or impossible for unpackaged items or when barcodes are damaged. This results in increased wait times, reduced transaction throughput, and potential revenue loss for food service providers.

Solution

VisioLab offers an AI-powered visual self-checkout system designed to streamline transactions in cafeterias, restaurants, and other food service venues. Utilizing advanced visual recognition technology, the system instantly identifies items placed under an iPad camera, eliminating the need for barcode scanning. This allows customers to simply place their items, have them recognized in real-time, and pay, significantly reducing transaction times. The system is designed for speed and simplicity, enabling a more efficient and convenient self-checkout experience for both customers and operators.

Features

Real-time product scanning using an iPad camera and AI-powered visual recognition

Barcode-free transactions for faster and more convenient checkout

Capability to recognize multiple items simultaneously (up to 10 comfortably)

Intuitive user interface for easy training and operation

Cross-selling feature to enhance product selection with targeted recommendations

Ad-Spaces feature to position advertisements for maximum impact

GDPR compliance with data protection measures, including automated blurring of non-food items and on-device data processing

Fast installation, typically less than one hour

Target Audience

VisioLab primarily targets campus canteens and cafeterias, company catering and restaurants, and sports and entertainment venues such as arenas, stadiums, and convention centers.

Revenue Model

VisioLab generates revenue by selling their self-checkout solution to food service providers. While exact pricing details are not provided, the company encourages potential customers to contact them for a demo and pricing information.