Scoriff is a new-age business credit scoring company, which applies Artificial Intelligence and Machine Learning at Web scale to predict likelihood of default events of businesses across the globe without financials.
Scoriff develops technology, which harvests data about businesses from the Web and other open data sources, exposes this data at company pages of its Web site and then explores how Web visitors interact with it. Such interaction traces are used for business credit scoring and enables even scoring businesses considered today "unscorable" by competitors.
Scoriff extracts features from Web visitor logs and company-person networks to train and use credit scoring models by using modern machine learning and ensemble learning methods.
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