RecommenderX

RecommenderX is a software development company founded in 2016 that specializes in data science, data analytics, and recommender systems. The company is headquartered in Dublin, Ireland, at the Guinness Enterprise Centre. It operates with a team of under 49 employees and has an average hourly rate of $333 per hour, with minimum budgets available upon inquiry.

The company's flagship product is ADVISE, an automated data analytics platform designed specifically for the Consumer Goods industry. ADVISE aims to enhance decision-making processes by automating repetitive tasks and providing actionable insights. RecommenderX also builds custom Decision Support Systems (DSS) that integrate diverse data sources to improve team effectiveness.

RecommenderX offers services in AI development, software development, and big data analytics. The company leverages state-of-the-art automation, data science, AI, and machine learning technologies to solve complex enterprise challenges. Its approach focuses on enabling teams to concentrate on understanding business intricacies and driving transformative change.

The company primarily serves the AI industry, with a particular emphasis on Consumer Goods enterprises. Notable clients include TritonLake, Microsoft, and MasterCard. RecommenderX's solutions are designed to optimize operational efficiency and accelerate business growth for large organizations.

As of the available profile, no Google reviews have been recorded for RecommenderX. The company's profile on DesignRush is unclaimed, meaning the agency has not yet verified or managed its listing. The portfolio images on the profile are placeholder images, indicating that no specific project examples are publicly displayed.

RecommenderX's expertise in data science and AI, combined with its specialized product ADVISE, positions it as a niche provider for enterprises seeking automated analytics and decision support. The company's client list, which includes major corporations like Microsoft and MasterCard, suggests a track record of working with large-scale organizations.