Resonai Team (company pic)
Resonai, an Israeli startup that offers an operating system in order to build the “digital square foot” and prepare the built world for a mixed reality future based on digital twins, extended its Series A round of fundraising with an additional $20 million led by Meitav-Dash, a TSE-traded Israeli institutional investment house; Blue Square Israel, the second-largest retail chain in Israel; and Irani Ventures. This brings the total raised in the Series A to $6 million and the total investment brought in to Resonai to $43 million to date.
Founded in 2014 by CEO Emil Alon, Resonai develops solutions to transform physical spaces into “smart, digitally empowered environments.” The company’s Vera is a computer vision enterprise platform that the company boasts can transform commercial buildings into intelligent environments for greater operational control, real-time customer insights, and innovative engaging experiences.
Resonai explains that these days digital transformation is accelerating and this is leading to an explosion of devices, disparate hardware and software systems, and expanding data sets. This, it says, means more to manage and greater complexity. To stay competitive, Resonai says, businesses need integrated systems and data insights to inform operations and deliver people-centric experiences.
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“All over the world, commercial real estate owners and operators are faced with the reality that their portfolios and traditional business models are under pressure and that their survival is increasingly threatened by broad shifts in society and consumer behavior toward more modern, hybrid, digital ways of living and working,” said Emil Alon. “At Resonai, our mission is to cultivate a new kind of built environment that can thrive in this rapidly changing world. We do this by empowering commercial real estate owners and operators to transform their physical properties into operationally efficient, intelligent digital assets that enable innovative experiences and create new data-driven revenue models.”
