Galahad
Computer Software, 992 Pondbrook Pt, Webster, New York, 14580, United States, 11-50 Employees
Phone Number: +14*********
Who is GALAHAD
Galahad helps companies automate data-driven, marketing personalization at scale powered by advanced AI and the worlds most intelligent customer recommender system. The recommender system...
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Headquarters: 992 Pondbrook Pt, Webster, New York, 14580, United States
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Date Founded: 2017
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Employees: 11-50
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Revenue: Under $1 Million
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Active Tech Stack: See technologies
Industry: Computer Software
SIC Code: 6512
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Frequently Asked Questions Regarding GALAHAD
Answer: GALAHAD's headquarters are located at 992 Pondbrook Pt, Webster, New York, 14580, United States
Answer: GALAHAD's phone number is +14*********
Answer: GALAHAD's official website is https://galahadai.com
Answer: GALAHAD's revenue is Under $1 Million
Answer: GALAHAD's SIC: 6512
Answer: GALAHAD has 11-50 employees
Answer: GALAHAD is in Computer Software
Answer: GALAHAD contact info: Phone number: +14********* Website: https://galahadai.com
Answer: Galahad helps companies automate data-driven, marketing personalization at scale powered by advanced AI and the worlds most intelligent customer recommender system. The recommender systems decision optimization and self-learning capabilities utilize todays 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 ROIs 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 clients existing predictive analytics and models, and through APIs 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.
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