OUR PRODUCTS
View our range of products.
Loan Risk AI
Aclaró’s Loan Risk Artificial Intelligence system is a proprietary system designed to evaluate the riskiness of a particular auto loan. To calculate riskiness, the AI takes into account several important variables—including an individual’s transaction history, payment behavior, risk over time, initial demographics, and next payment date. Taking these variables together, the AI calculates the chances that the borrower will pay his or her loan in full.
Nexus Score
Compared to some of our other products, Aclaró’s Nexus Score is based on a borrower’s financial background. To compute the score, we take into account certain variables like bank information, credit card information, asset and liabilities, and cash flow. We also leverage our income source AI to gain even more insights about a particular borrower.
Financial Evaluation AI
Specifically, Financial Evaluation AI leverages like patterns in providing you with more information about a borrower’s ability to pay their loan. Along with this, Financial Evaluation AI feeds Route 1 and DealerTrack to make evaluation that much easier. It provides you with data and analytics that can help you make better decisions for your organization’s future.
Nano Profile
In computing the Nano Profile, we take into account certain characteristics and data. This includes certain third-party data, location (including school systems), products, social networks (like Twitter, Facebook, and LinkedIn), entities, life cycle, job, education, and email.
Engage Me
Aclaró’s Engage Me product is the final piece of the puzzle. Engage Me focuses on several questions that paint a larger picture of each borrower in your portfolio. For instance, Engage Me asks about a borrower’s likelihood of doing business, whether they are a buyer or return buyer, and some of their particular needs.
Scale Your Business Effortlessly
Aclaró is here to help you scale your business and we know you’re going to love it. Get detailed information on loaners. Find your paying customers.
