Rupt provides developer-first device intelligence solutions to combat fraud and identify revenue growth opportunities. The platform integrates device fingerprinting and identity verification technology via simple SDKs for rapid deployment. This enables businesses to accurately detect account sharing and implement fine-grained controls to increase measurable revenue.
Funding
Funding not disclosed
Founders
Product
Problem
Online businesses face revenue loss due to account sharing, trial abuse, account takeovers, and fake account creation, making it difficult to convert potential fraudsters into paying customers. Detecting these fraudulent activities often requires significant manual effort and may not be accurate.
Solution
Rupt offers a real-time fraud prevention platform that identifies and manages various types of online abuse, including account sharing, trial abuse, and account takeovers. By analyzing user behavior and device data, Rupt helps businesses detect unauthorized access and multiple account usage. The platform provides tools to challenge suspicious users, block fraudulent activity, and convert potential abusers into legitimate customers. Rupt's pre-built UI components and simple APIs enable quick integration and immediate detection of growth opportunities, allowing businesses to protect revenue and drive growth.
Target Audience
Rupt primarily targets online businesses with subscription-based models or paid services that are susceptible to account sharing, trial abuse, and other forms of online fraud.
Features
- Real-time detection of account sharing, trial abuse, referral abuse, account takeover, and fake accounts
- Device fingerprinting to identify unique devices and track account usage across multiple devices
- Behavioral analysis to detect suspicious activity, such as impossible travel and excessive usage
- Pre-built UI components for challenging suspicious users and managing account access
- Real-time dashboard controls for monitoring account insights and fraud trends
- APIs and SDKs for integrating fraud detection into existing web, iOS, and Android applications
- Customizable rules and thresholds for defining fraud risk and triggering automated actions
- Email intelligence to identify disposable or invalid email addresses