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Egyptian food discovery and ordering startup, Elmenus has successfully raised $10million in a pre-Series C funding round led by leading Egyptian payments firm Fawry, New York-based hedge fund Luxor Capital and Egyptian property developer Marakez. With the new funding, Elmenus plans to expand its operations, create different tools to help restaurants scale and convert its database of several million users to online ordering.
In a statement with MENAbytes, Amir Allam, CEO of Elmenus said: “Attracting new investment from Fawry, Luxor Capital and Marakez- following the endorsement of industry veteran, David Buttress, earlier this year- validates Elmenus’ unique strategy. We are accelerating the adoption of online ordering by users while enabling restaurants with new verticals- to help them scale. This funding demonstrates the investors’ strong belief in our position in Egypt, and our capability to dominate the market”.
Ashraf Sabry, Fawry’s chief executive officer (CEO), said: “Fawry is looking forward to its journey with Elmenus, working closely with the executive team and entering many ventures together. By this investment, we show our desire to not only be a payment catalyst but to be a strategic partner to Elmenus, its customers, restaurants and its riders. The Egyptian food space has high growth potential, with technology disrupting the status quo, as customers’ needs in food service provision rapidly change”.

Elmenus, founded by Amir Allam in 2011 is a venture-backed food discovery startup with the vision to help people decide what to eat. It boasts of a comprehensive platform with over 6,000 restaurants, discovery to the dish level, a fully automated online ordering system, and a vibrant and growing foodie community. With venture funding in a total of $20m, Elmenus has become the leading food discovery platform in Egypt by providing over 1.5 million users every month with comprehensive restaurant information for over 12,000 restaurants including their menus, reviews, food photos all powered by a machine learning food recommender that personalizes the experience on the dish level to the users.
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