DisputeNinja is an AI platform that automates chargeback management by collecting evidence and drafting tailored dispute responses. The system integrates with existing payment stacks to streamline workflows, allowing analysts to handle significantly more cases efficiently. This automation maximizes win-rates by generating optimized responses specific to card networks and issuers.
Funding
$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Marketplaces using Stripe Radar for fraud prevention are limited by the platform's data sources and rule optimization capabilities. This can lead to inaccurate fraud detection, resulting in financial losses and operational inefficiencies.
Solution
Trench is an open-source fraud prevention platform designed to augment Stripe Radar by integrating additional data sources and enhancing fraud detection rules through comprehensive data analysis. The platform combines existing Stripe data with external data provider signals and data from a device SDK. Trench's analysts optimize fraud prevention rules tailored to specific business needs. A real-time dashboard provides continuous monitoring of the integration's performance, enabling marketplaces to proactively manage and mitigate fraudulent activities.
Target Audience
The primary target audience is marketplaces that utilize Stripe Radar and seek to improve their fraud prevention measures.
Features
- Integration with Stripe Radar to enhance existing fraud prevention capabilities.
- Open-source platform allowing for customization and community contributions.
- Combination of Stripe data with external data sources and device SDK signals.
- Data analysis and rule optimization by Trench analysts.
- Real-time monitoring dashboard for performance tracking and alerting.