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At Deserve, we are committed to providing deserving but underserved people access to fair credit. When it comes to credit, most young people are caught in a catch-22: you don`t qualify for credit because you lack credit history, and to build a credit history you first need to get credit. Deserve is different. Where traditional lenders see risk, Deserve sees potential. Instead of just looking at credit history, we measure each applicant`s credit potential by looking at factors such as education, current financial health, and future employability and earnings potential. Our compliance framework has been developed in kind to meet the most stringent requirements set forth by the law, using enhanced identity verification and consistent lending practices to ensure the utmost security and safety. The entire process, from sign up through approval to account management, is simple and frictionless. Ultimately, we believe credit and lending should be a win-win-win. Helping our customers be successful with credit and become financially independent is good for them, our business, and society, overall.
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Imagine what you can do when you know how much of your initiatives contributes to your outcomes. Causal Machine Learning (CML) algorithms recommend how you can innovate your practices to achieve greater business outcomes. CML Insight develops solutions that fulfill this vision. Our development teams are based in the US and Sri Lanka and our team members have years of experience in Machine Learning in general and Causal Machine Learning in particular. We work with clients in Higher Ed, Healthcare and Fintech. Our solutions are already proving the value of Causal Machine Learning in these domains.
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