Konduto utilizes artificial intelligence and consumer behavior analysis to create risk assessment models that help online retailers identify and mitigate fraudulent transactions. By processing over 244 million orders annually, the platform enhances transaction security, enabling e-commerce businesses to operate with reduced risk.
Funding
Funding not disclosed
Founders
Product
Problem
Online retailers face significant challenges in identifying and preventing fraudulent transactions, leading to financial losses and increased operational costs. Traditional fraud detection methods often fail to keep pace with evolving fraud techniques, resulting in both false positives that block legitimate sales and false negatives that allow fraudulent orders to proceed.
Solution
Konduto offers an AI-driven risk assessment platform that analyzes consumer behavior to identify and mitigate fraudulent transactions for online retailers. By leveraging machine learning algorithms and behavioral biometrics, Konduto's platform builds risk assessment models tailored to each merchant's unique transaction patterns. The system analyzes a wide range of data points, including browsing behavior, purchase history, and device information, to detect anomalies and patterns indicative of fraud. This approach enables e-commerce businesses to reduce fraud rates, minimize chargebacks, and improve overall transaction security.
Target Audience
Konduto primarily serves e-commerce businesses of all sizes that require advanced fraud prevention solutions to protect against online transaction fraud.
Features
- Real-time risk scoring based on AI-powered analysis of consumer behavior
- Customizable risk rules and thresholds to adapt to specific business needs
- Behavioral biometrics analysis to identify suspicious user patterns
- Integration with major e-commerce platforms and payment gateways
- Detailed transaction reports and dashboards for fraud analysis
- Machine learning models that continuously adapt to new fraud trends