Approximately 64 million US consumers have limited or no credit history. While these people may be invisible to traditional credit reporting bureaus, vast amounts of data exist about them through alternative sources including digital and mobile. Trust Science empowers lenders to go Beyond the Bureau™ to Find Invisible Primes™ from Lead to Loan™. By leveraging its proprietary Credit Bureau+™ #ExplainableAI platform and the power of #AlternativeData, Trust Science is helping lenders extend access to credit to deserving borrowers with fully automated lead sourcing, lead screening, credit scoring, and full credit decisions with ROIs of up to 201x. With its rapid growth and over 50 patents in over a dozen countries, Trust Science is leading the charge in #FinancialInclusion and innovation.
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11-50 employees
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Financial Services
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10130 103 St NW, 11th Floor, Edmonton, Alberta T5J 3N9, CA
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2014
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Payday Lending, Alternative Data, Indirect Auto Lending, Installment Lending, Subprime Lending, Explainable Ai, Automated Credit Scoring, Bhph Auto Lending, Decision Management Suite, Subprime Credit Scoring, Decision Management System
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Evan Chrapko is the CEO of Trust Science. To contact Evan Chrapko email at [email protected] or [email protected]. Or you may call 780-428-8900, +001.7806348171, +1.7804254500 or +1.4035853826
The decision makers in Trust Science are Ashley Snelgrove, Colin Tran, Colin Tran, etc. Click to Find Trust Science decision makers emails.
Trust Science specializes in providing alternative credit scoring solutions for individuals who have limited or no credit history. By leveraging vast amounts of alternative data, we can create a more comprehensive credit profile that reflects a consumer's true creditworthiness. This helps lenders make informed decisions while allowing consumers to access credit products that they might otherwise be denied.
Trust Science employs advanced algorithms and Explainable AI to analyze alternative data sources, such as utility payments, rental history, and employment records. This data is used to generate a more accurate credit score for consumers who are often overlooked by traditional credit bureaus. By incorporating these non-traditional data points, we help lenders assess risk more effectively and provide fairer lending options.
Trust Science's solutions are particularly beneficial for industries such as payday lending, subprime lending, indirect auto lending, and installment lending. Our automated credit scoring and decision management systems enable these industries to better serve consumers who may not have a traditional credit history, thereby expanding their customer base and reducing risk.
Yes, Trust Science offers a comprehensive Decision Management Suite that allows lenders to streamline their decision-making processes. Our platform provides tools for automated credit scoring, risk assessment, and compliance management, enabling lenders to make faster and more accurate lending decisions while minimizing operational costs.
Explainable AI is a key component of Trust Science's credit scoring methodology. It ensures that the algorithms used to generate credit scores are transparent and understandable. This means that lenders can see the rationale behind a credit decision, which enhances trust and accountability in the lending process. It also helps consumers understand how their scores are calculated, promoting financial literacy.
Trust Science provides tailored solutions for Buy Here Pay Here (BHPH) auto lenders by offering alternative credit scoring models that accurately assess the creditworthiness of potential borrowers. Our data-driven approach helps BHPH lenders identify viable customers who may not qualify through traditional means, ultimately increasing sales and reducing default rates.
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