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We are a Digital Innovation and services company that leverages latest technologies & methodologies to create solution that deliver value for you and your custo
HeroX is the Social Network for Innovation, and has hosted the two largest crowdsourcing challenges of all time. We help organizations solve any challenge in any field by using the power of our crowd combined with a turn-key, easy to use platform. HeroX makes implementing crowdsourcing simple and easy, with a 90% success rate, and $30 million in solved challenges to date, we deploy our unique crowd of 167k+ solvers across 180+ countries to help drive open innovation for organizations of every size and stage. On HeroX`s Challenge Platform, sponsoring organizations or individuals post the work or solutions they seek as an open call, adding guidelines and a prize. Solvers from our crowd then self-select their participation and submit their work. The sponsoring organization selects the top entries and awards the prize. HeroX is the leading platform for funded prizes for groundbreaking challenges. To date, HeroX has solved thousands of challenges, successfully driving innovation for world changing organizations like NASA, GE, Lululemon, Anheuser-Busch, Lockheed Martin, NFL, Harvard Innovation Lab, NBC and hundreds of others. To learn more about how HeroX and our community of solvers can drive innovation for your organization click the link above or visit: https://www.herox.com/solutions HeroX was co-founded in 2013 by Serial Entrepreneur Christian Cotichini and XPRIZE Founder and Futurist Peter Diamandis. By tapping into the collaborative power of the global community, HeroX continues to transform the problem-solving marketplace to help organizations and individuals solve their toughest challenges.
From automation to outsourcing with OpenText ApplicationXtender, our solutions enable you to focus on your core business – well do the rest
Harness integration and automation solutions that drive value and improve efficiency across the enterprise from managed services and devops to data science.