What is Mashgin?
Founded in 2013 and headquartered in Mountain View, California, Mashgin specializes in the development and manufacturing of AI-powered self-checkout kiosks. The company's core offering is a sophisticated multi-item checkout system that utilizes 3D reconstruction, computer vision, and deep learning to identify products instantaneously. By eliminating the need for traditional barcode scanning, Mashgin provides a seamless, high-speed transaction experience that addresses the operational inefficiencies inherent in modern retail environments. Its market position is defined by its ability to integrate complex AI models into robust, user-friendly hardware, catering to a diverse range of enterprise clients seeking to optimize throughput and enhance customer satisfaction.
How much funding has Mashgin raised?
Mashgin has raised a total of $71M across 3 funding rounds:
Series A
$8.2M
Debt
$350K
Series B
$62.5M
Series A (2017): $8.2M with participation from TenOneTen Ventures and Matrix Partners
Debt (2020): $350K led by PPP
Series B (2022): $62.5M supported by NEA, Robinhood, Patreon, Matrix Partners, Uniphore, and Cloudflare
Key Investors in Mashgin
Matrix Partners
Founded in 1977, Matrix Partners operates as a venture capital firm. The Company invests in software and services, communications equipment, semiconductors, storage, internet, and wireless sectors.
Robinhood
Robinhood Markets, Inc. operates a financial services platform in the United States, providing users with access to stocks, ETFs, and cryptocurrency trading, while also offering extensive educational resources.
Patreon
Patreon is a membership platform that connects creators with their fans, spearheading the creator economy by allowing creators to monetize their craft and engage directly with their community.
What's next for Mashgin?
With the successful closure of this major strategic investment, Mashgin is poised to enter a new phase of operational maturity. The company is expected to focus on expanding its deployment footprint across global retail chains, stadiums, and corporate campuses. By further refining its deep learning algorithms, Mashgin aims to increase the accuracy and speed of its computer vision systems, thereby maintaining its competitive edge in the retail technology sector. Future strategic initiatives will likely involve enhancing the interoperability of its platform with existing enterprise resource planning systems, ensuring that the company remains at the forefront of the digital transformation of physical retail spaces.
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