Israeli Tech Entrepreneur Sells Company After Gaza Injury

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Itamar Ben Hemo, an Israeli tech entrepreneur, recently sold his software company Rivery to Boomi after being injured while serving as a reservist in Gaza.

Less than a year after being wounded in Gaza, Itamar Ben Hemo sold software startup Rivery last week to Pennsylvania-based Boomi.Ben Hemo returned to work three months after being shot fighting in Gaza. Itamar Ben Hemo didn't have to join the war. At age 49, the Israeli tech entrepreneur was well outside of the range of mandatory service.

But following last year's attack by Hamas, Ben Hemo signed up as a reservist, confident that his experience fighting as a paratrooper in Lebanon in 2006 made him valuable to his country.In January, during what was supposed to be a quick mission into Gaza to help a wounded soldier, Ben Hemo says he remembers hearing a shot ring out and feeling a burning pain. He'd been hit by a bullet that evaded his protective vest. Several organs were damaged.While Ben Hemo was recovering, the technology industry was in the midst of a fast-moving generational upgrade due to artificial intelligence. Businesses of all shapes and sizes continued to seek ways to integrate the technology into customer service, marketing and sales. Rivery, which Ben Hemo helped start in 2019, plays directly into that theme, specializing in software integration through AI. Through Ben Hemo's hospital stay, surgeries and rehab, Rivery kept operating, servicing customers with the reassurance of other company executives.Rivery was acquired by a Pennsylvania-based cloud software company named Boomi. Terms of the deal weren't disclosed but Boomi CEO Steve Lucas tells CNBC it was 'in the neighborhood of $100 million.'Translate for business,' taking the many different kinds of software a company uses, regardless of programming language, and integrating it all into a single functioning system. What makes Rivery so attractive, he said, is that it helps advance software integration by doing it in real time in the cloud using AI to analyze different kinds of data sets

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