Rapid Asymptotic Learning
Machine Learning for Guidance
Rapid Asymptotic Learning, RAtL, encapsulates bleeding-edge research with the vision of having an expert coach walk you through your reports. Our technology is based on a proprietary ensemble of machine learning algorithms that combine statistical, recommendation and personalization technologies to learn rapidly, even in the presence of small, or frequently changing data-sets. Unlike traditional approaches, RAtL optimizes for speed and pragmatism, providing domain-specific directionally correct insights that personalize to a given end user, and improve over time.