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Quofore is a Atlanta, GA-based company in the Software and Internet sector.
Houzz is the leading platform for home remodeling and design, providing people with everything they need to improve their homes from start to finish. From decorating a small room to building a custom home and everything in between, Houzz connects millions of homeowners, home design enthusiasts and home improvement professionals across the country and around the world. With the largest residential design database in the world and a vibrant community empowered by technology, Houzz is the easiest way for people to find inspiration, get advice, buy products and hire the professionals they need to help turn their ideas into reality. Our mission is to provide the best experience for home renovation and design, connecting homeowners and home professionals with the best tools, resources and vendors.
Anomali is the leader in intelligence-driven extended detection and response (XDR) cybersecurity solutions. Anchored by big data management and refined by artificial intelligence, the Anomali XDR platform delivers proprietary capabilities that correlate the largest repository of global intelligence with telemetry from customer-deployed security solutions, empowering security operations teams to detect threats with precision, optimize response, achieve resiliency, and stop attackers and breaches.Our SaaS-based solutions easily integrate into existing security tech stacks through native cloud, multi-cloud, on-premises, and hybrid deployments. Founded in 2013, Anomali serves public and private sector organizations, ISACs, MSSPs, and Global 1000 customers around the world in every major industry. Leading venture firms including General Catalyst, Google Ventures, and IVP back Anomali.
Custom software development company: 20 years, 300 professional developers, 1500 successful projects. Custom software development for a range of industries
Monolith AI is a company that provides AI software for engineering product development, allowing engineers to build self-learning models to predict design performance, test less, learn more, and develop better quality products faster.