Paris-based visual recognition startup Deepomatic raises €5.5 million

deepomatic

Paris-based startup Deepomatic specialises in visual recognition technology for industrial projects. The startup has just raised €5.5 million in a Series A round led by Hi Ino, with participation from Alven and the business angel Bertrand Diard.

Launched in 2014, Deepomatic was originally started with the ambition of becoming the “Shazam for images” – allowing users to find objects in photographs or videos. But the concept never found an audience, pushing the company to reinvent itself, and at the end of 2016 the startup pivoted and decided to change its model by developing a product for companies.

Deepomatic has since created two flagship products, Deepomatic Studio and Deepomatic Run, which allow companies to design their own applications based on visual recognition, and then deploy them on an industrial scale in less than three months.

The potential uses are immense with the democratisation of this AI-based image processing technology. Visual recognition can detect cancer cells, analyse images on social networks, or identify terrorist behaviors. Deepomatic’s technology has enabled its customer Compass to automate the collection of thousands of meal trays per day at its restaurants, and Oscaro to automate the quality control of its product listings. So far, the company has around twenty customers, including Valeo, Airbus, and Galeries Lafayette.

With the fresh funding, Deepomatic plans to accelerate its international development, opening a new office in New York to expand into the North American market.

This round of €5.5 million feeds our current obsession for each company to become autonomous in exploiting all that digital transformation has to offer through AI,” said Augustin Marty, co-founder and CEO of Deepomatic. “Each industrial solution created using Deepomatic materialises our vision of a pragmatic AI and represents a victory that nourishes the ambitions of the whole society.

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