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Bemyeye buys the Milanese startup Metaliquid

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Bemyeye buys the Milanese startup Metaliquid

BeMyEyea company founded by Italian entrepreneurs but based in London that allows companies to improve sales channels through image recognition, has bought Metaliquida Milan-based startup specializing in audio and video analysis based on deep learning technology.

The goal of the acquisition, explains the company in a note, is the integration of Metaliquid’s technology to allow BeMyEye’s customers (Johnson & Johnson, Microsoft, Peroni and Gsk, among others) to improve sales on a large scale. retail. The artificial intelligence developed by Metaliquid, the company explains, “will drastically improve the actions in the field”, because the startup has “developed an innovative deep-learning solution specifically designed to extract descriptive and time-encoded metadata from audio content, images and real-time video “.

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Pagano: “With Metaliquid our customers will increase their market shares”

“Most of our customers already experience improvements of up to 20% in key store execution metrics, such as assortment compliance and shelf share, which translate into double-digit revenue growth,” he comments. Luca PaganoCEO of BeMyEye, adding: “By leveraging Metaliquid’s real-time Computer Vision capabilities, our customers will take their in-store metrics to the next level, significantly increasing their market share. We have been working with Metaliquid for over 18 months and we have been impressed with how their technology and capabilities have improved in-store success, ”added Pagano.

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Mauro PretolaniLead Investor of BeMyEye and Senior Partner of Fii Tech Growth, said: “This acquisition brings BeMyEye a strong competitive advantage, but also exciting opportunities for market expansion”, while Simone Bronzinformer CEO of Metaliquid and now CEO of BeMyEye, said: “We are very excited to join a company with such a large product and customer portfolio as BeMyEye. BeMyEye can change the cards in the computer world. Vision, as it allows for the labeling and annotation of data sets on a very large scale, thus reducing the time and cost of implementing any solution based on artificial intelligence.

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