RiskSeal vs. Modeller

RiskSeal is a cutting-edge SaaS platform that leverages artificial intelligence to assist online lenders in recognizing high-value customers, streamlining lending processes, and mitigating the risk of defaults. Through our Digital Credit Scoring System, lenders can effectively spot potential defaulters and fraudsters while simultaneously identifying promising clients via an analysis of their digital footprints. We develop comprehensive digital user profiles by scrutinizing various elements such as email, phone numbers, and IP addresses, drawing insights from over 400 distinct data points. When partnering with RiskSeal, online lending companies gain access to invaluable digital footprints, including insights from over 100 social networks that provide unparalleled understanding of their clientele. Additional benefits include data enrichment, where digital signals are converted into more than 300 customized datapoints to facilitate automated decision-making, and a trust engine that enhances onboarding processes through rigorous pre-KYC checks. Moreover, we offer an advanced risk score that incorporates name verification, providing an intuitive risk assessment across various categories to ensure informed lending decisions. Incorporating RiskSeal into your lending strategy equips you with the tools necessary to navigate the complexities of the digital lending landscape with confidence.

In the current era of machine learning, software designed for model development leverages over three decades of expertise in credit risk modeling. Modeller stands out as a versatile, clear, and interactive tool that empowers organizations to maximize the potential of their analytical teams. It provides a wide range of methodologies, facilitates the swift creation of robust models, ensures comprehensive explanations, and nurtures the growth of junior team members. Users can select from diverse modeling approaches, including machine learning, to attain the highest levels of predictive precision, particularly when dealing with intricate relationships and multicollinearity. With a simple click, one can generate standard industry binary and continuous target models. The software supports decision tree modeling through CHAID trees and CART methods, along with options like logistic regression, elastic net models, survival analysis (Cox PH), random forest, XGBoost, and stochastic gradient descent. Furthermore, it offers export capabilities to SAS, SQL, and PMML, enabling seamless integration with other scoring and decision-making applications. This flexibility ensures that organizations can easily adapt the models to fit their specific operational contexts and requirements.