Company Overview
Snapshot
Founded in May 2021 by Roy Gherman, Shahar Korin, and Itzik Mizrahi, Flymingo operates with 11–50 employees. The company has secured funding across one round, with Amazon Industrial Innovation Fund participating as an investor. In March 2023, Flymingo received funding from Amazon to enhance its capabilities in identifying supply chain mistakes.
Business overview
Flymingo specializes in developing supply chain analytics solutions within the Industrial Technologies sector. The company leverages computer vision technology and deep video algorithms to improve inventory visibility. By integrating with existing camera infrastructure in logistics centers, Flymingo provides near real-time tracking and analysis, aiming to prevent supply chain errors and enhance inventory control for improved efficiency. Its core product targets markets such as the United States, serving industries involved in commerce, retail, distribution channels, supply chain management, and logistics, particularly warehouses.
Strategic signal
In March 2023, Flymingo received funding from Amazon, signaling strong validation for its computer vision technology in supply chain optimization. This investment from a major e-commerce and logistics player like Amazon suggests a strategic recognition of Flymingo's potential to address critical inventory visibility challenges and improve operational efficiency within the logistics and supply chain industry.
Company Intelligence Q&A
- When was Flymingo founded?
- Flymingo was founded in May 2021.
- Who are the founders of Flymingo?
- Flymingo was founded by Roy Gherman, Shahar Korin, and Itzik Mizrahi.
- What is Flymingo's primary sector?
- Flymingo's primary sector is Industrial Technologies.
- What was a key funding event for Flymingo?
- In March 2023, Flymingo received funding from Amazon Industrial Innovation Fund to identify supply chain mistakes.
- What technology does Flymingo use?
- Flymingo uses computer vision technology to improve inventory visibility in the supply chain industry, developing deep video algorithms and utilizing existing camera infrastructure.