Ravelin is an innovative hybrid platform that combines machine learning, graph networks, and human insight to provide real-time fraud detection for online businesses. The startup enables online businesses to prevent online payment frauds by analyzing consumer payment data. The startup claims to bring down the chargebacks, i.e., money refunded due to fraud, down to 0.1% of transactions.
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The platform, with the help of an API, imports data like the client’s visitor, registration, and payment data in real time, which is then inspected with the help of an AI in order to identify and block fraudsters. The platform also offers access to an aggregated dashboard for providing a more comprehensive view to the businesses by leveraging machine learning and social graph information. The dashboard enables the users to oversee fraud prevention in-house and simultaneously respond to it. This approach enables the businesses to set their own risk appetite and helps them make decisions. Ravelin offers a number of solutions like: 1. Chargebacks: The platform uses the user’s chargeback history to train its machine learning models to identify and stop fraudsters. With the help of the platform, online businesses can reduce their chargeback levels by about 50% in a month. 2. Promo Abuse: Ravelin also helps online businesses to fight Promo and voucher abuse, by mapping all the orders and customers in the database. The promo data are pulled via API, which enables the online businesses to track the codes that are shared or used multiple times. 3. Account Takeover: Ravein uses machine learning to process thousands of signals from on-site and in-app behavior to the device used in order to spot anomalies and send alerts to customers via API calls. The solutions are offered through: 1. Ravelin Enterprise: For reducing fraud and increasing revenue. 2. Ravelin Connect: Maps the customer base to find bogus connections and transactions. 3. Ravelin Lookup: Share and search known fraudsters in a shared network.
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