IPinfo
21 Case Studies
A IPinfo Case Study
Nethone, a fraud prevention company, needed a reliable IP address data provider to improve its machine-learning models for detecting fraudulent activity, particularly from users hiding behind VPNs. They sought a high-quality and easy-to-use solution that would save their team time, leading them to partner with vendor IPinfo and utilize its Privacy Detection data.
By implementing IPinfo's data, Nethone enhanced its fraud scoring and visibility for clients, saving their team valuable development time. This allowed them to focus on core product development, which contributed to the company's growth and solidified its position as a leader in AI-powered fraud prevention.
Marcin Zubrycki
Senior Product Manager of Fraud Intelligence Team