Galahad helps companies automate data-driven, marketing personalization at scale powered by advanced AI and the world’s most intelligent customer recommender system. The recommender system’s decision optimization and self-learning capabilities utilize today’s most advanced deep learning capabilities to create personalized experiences that delight and inspire customers. The proven, pre-built personalization solution reduces implementation time by 50% and has generated high triple-digit ROI’s for our clients. We deliver a working prototype of the recommender system running with each clients’ data within 45 days, with clients able to run a live in-market proof-of-concept within 90 days. The recommender system incorporates each client’s existing predictive analytics and models, and through API’s easily integrates with your existing MarTech stack. We provide clients with top-tier consulting services to perform personalization assessments, design implementation roadmaps and build custom machine learning that accelerate their time to market and customer growth performance. Contact us to learn more about our Recommender System solution. For qualified prospects, we will share a live demo of our Recommender System using synthetic data.