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Outris

Outris offers a mobile intelligence platform that uses advanced alternate data analysis to enhance fraud prevention and risk mitigation. Its proprietary algorithms process public mobile usage and historical data to predict customer creditworthiness, identify delinquency, and detect fraud in real-time.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Organizations face increasing challenges in mitigating fraud and assessing customer risk due to sophisticated attack methods and a lack of comprehensive customer insight. Traditional methods often fail to identify potential fraud or accurately predict creditworthiness, leading to increased financial losses and compromised customer trust.

Solution

Outris provides a mobile intelligence platform that enhances fraud prevention and risk mitigation through advanced alternate data analysis. The platform leverages proprietary algorithms to process public mobile usage and historical data, generating insights into an individual's tenure, usage patterns, and social habits. This enables organizations to predict customer creditworthiness, identify potential delinquency, and detect fraudulent activity in real-time. By integrating these capabilities across the customer lifecycle, Outris supports better decision-making, improves customer retention, and reduces overall risk exposure.

Target Audience

Primary customers include financial institutions such as banks, credit bureaus, and telecommunication companies seeking to enhance their fraud detection and risk assessment capabilities.

Features

  • Mobile intelligence platform analyzing public mobile usage and historical data for predictive insights.
  • Proprietary algorithms to assess customer tenure, usage patterns, and social habits.
  • Real-time prediction of creditworthiness, delinquency, and potential fraud.
  • Components for customer authentication and verification by cross-referencing data points with credible sources.
  • Credit and profile assessment tools to reduce fraud risk and build customer trust.
  • Fraud prevention mechanisms to monitor financial data and identify risk areas.
  • Bespoke identity consultancy for novel fraud use cases and innovative solution development.
This profile is AI-generated and may contain inaccuracies.