UAE-Based Eat App Raises $10M to Expand Restaurant Platform

Restaurants still juggle bookings from phone calls, apps and walk-ins, often stitching together pen-and-paper notes with disconnected guest data. UAE-based restaurant and guest management platform Eat App was built to bring reservations, table management and guest CRM into one cloud-based system—and it is expanding with fresh capital.

Eat App has raised $10 million in a Series B extension to accelerate the expansion of its cloud-based reservation and CRM system. The round was led by PSG Equity through its portfolio company Zenchef SAS, the company said.

Founded in 2015 by Nezar Kadhem and David Feuillard, Eat App provides an integrated platform that brings reservations, table management, and guest relationship data into a single system. The company currently operates in more than 92 countries and serves over 5,000 restaurants worldwide.

India has emerged as Eat App’s primary growth market, with the platform now serving more than 2,000 restaurants across the country. The Indian food service sector is projected to exceed $85 billion by 2028, making it a strategic focus for the company. Prior to its expansion in India, Eat App’s largest markets were the UAE, followed by the United States, the United Kingdom, and Saudi Arabia.

To strengthen its presence in India, Eat App acquired local reservations and table management provider ReserveGo in mid-2025. It also entered a partnership with food and grocery delivery platform Swiggy, which led to the launch of GroMax, a solution enabling restaurants to promote their venues on Meta and Swiggy while consolidating reservations and guest data within Eat App’s system.

The company said the latest funding will support product development, market expansion, and deeper integration across demand channels, addressing a common industry challenge where restaurants manage bookings across phone calls, third-party apps, and walk-ins without unified guest insights.

Eat App’s strategy focuses on consolidating fragmented reservation workflows into a single operational layer, allowing restaurants to better manage demand, improve guest experiences, and make data-driven decisions across increasingly competitive dining markets.