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Roboost Secures USD3 Mn Funding

Bringing true automation to every stage of the delivery cycle, Roboost has secured USD3 Million Funding led by Silicon Badia and other investors included RZM Investment, Flat6Labs, and Saudi Angel Investors.

Bringing true automation to every stage of the delivery cycle, Roboost has secured USD3 Million Funding led by Silicon Badia and other investors included RZM Investment, Flat6Labs, and Saudi Angel Investors.

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Funding will be used by Roboost to support its upcoming next step in regional expansion. Roboost’s vision is to reshape the delivery operation all over the world through full automation and comprehensive analytics of performance management and gap detection, that we provide to clients instantly and in a real-time manner.

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“This investment enables us to bring Roboost’s transformative power to businesses across the MENA region and propel the next phase of our growth, by making Roboost the copilot for any enterprise’s delivery operations,” said Mohamed Gessraha, CEO and Co-Founder of Roboost. “Our goal is to redefine what it means to have automated delivery operations by applying our technology to our customers’ most detailed workflows.

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“We’re excited to back a game-changer in the delivery management space. This SaaS solution stands out in a sector ripe for disruption, by automating the full spectrum of the delivery process. It provides a unique value proposition to all stakeholders alike, including brand/store managers, delivery agents, and end-customers,” said Hossam Shafick, Investor at Silicon Badia, “Our investment is a testament to our belief in the team’s vision and capabilities, and we are eager to support their journey towards regional and global success.”

Read also – BluSmart Secures $25 Mn Funding From ResponsAbility

About Roboost

Roboost is a startup company established in 2020 and specialized in technology solution development. We are developing an automated delivery management solution that optimizes every aspect of delivery operation using artificial intelligence to eliminate human biases, reduce cost, and increase delivery operation productivity.

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