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Templafy is a fast-growing B2B Software-as-a-Service company, helping over 1.5 million users improve productivity, branding, and compliance across business documents, presentations, and emails. Templafy`s platform assists enterprise employees in each stage of the document creation workflow, delivering more productive, compliant and enjoyable ways of working in office applications. It`s a solution that communications and compliance teams can control, IT can trust, and employees love using. Founded in Copenhagen, Denmark in 2014, Templafy`s team leveraged more than 15 years of experience in template management and document automation to develop a cloud service solution now used by enterprise customers from all industries. Templafy`s offices are currently located in New York, Copenhagen, Berlin and Eindhoven, representing 40+ nationalities, and the Templafy team serves customers all over the world. And we`ve got people talking: ● Microsoft says “Templafy is a valuable solution for any public or private sector organization looking to govern and streamline employee communications” ● Forbes named Templafy as a firm “shaking up the way companies do business” ● Entrepreneur.com says Templafy“will help you improve the workflow of your busy team”
FirstBest Systems, Inc. is one of the leading companies in Software and Internet industry. FirstBest Systems, Inc. is based in Bedford, MA. You can find more information on FirstBest Systems, Inc. at www.firstbest.com
Quality Assured Software is a Essex, MA-based company in the Software and Internet sector.
ChartHop is the world`s first organizational management platform empowering leaders and team members alike to see the past and present of their organization and design its future.
Scale accelerates the development of AI applications by helping machine learning teams generate high-quality ground truth data. Our advanced LiDAR, image, video and NLP annotation APIs allow machine learning teams at companies like OpenAI, Lyft, Pinterest, and Airbnb to focus on building differentiated models vs. labeling data.