MAZ Was Founded by Former Apple and Adobe Designers and Engineers

New York City-based software company, MAZ, announced that they have launched the world’s first Content Logistics System to solve the issue that all media companies and brands face of delivering their content to an ever-growing/unscalable list of social platforms, devices and operating systems. Content logistics is a brand new category of cloud-based software which addresses the problems in the part of the content supply chain that facilitates the efficient flow between the point of origin and point of consumption.

MAZ, founded by former Apple and Adobe designers and engineers, is used by brands like Bloomberg, Hearst, Condé Nast, USA Today, Outside TV, and hundreds of others.

Brands, media and news companies, TV broadcasters, and organizations, like schools and trade associations, are creating more content than ever before. Instead of needing only to push that content to a single distribution channel, they are tasked with reaching consumers across an ever-expanding multitude of devices and platforms. Most companies solve these content logistics problems by hiring developers to manually build out each distribution output one-by-one, only to find themselves needing to build again and again as new output types inevitably emerge.

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Instead, they can now use MAZ, the world’s first Content Logistics System. MAZ partners can manage the processing, filtering, packaging, and shipping of their content to all major outputs, including social media like Twitter and Facebook, voice assistants like Amazon Alexa, news services like Apple News, as well as the ability to create full mobile and TV apps for platforms like iOS, Android, Apple TV and Roku; all from a single system, without any code.

“Every brand today has to somehow get their content to every single distribution channel in order to reach consumers, and there are more and more popping up every year,” said MAZ CEO, Paul Canetti. “This year it’s Alexa, and next year it will be something else. Content logistics is a growing problem, and we have built a solution that truly fulfills the promise of ‘Create once, publish everywhere.’ Not only for outputs that exist today but for the ones yet to come as well.”

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