Fingerprint
Fingerprint empowers developers to stop online fraud at the source. We work on turning radical new ideas in the fraud detection space into reality. Our products are developer-focused and our clients range from solo developers to publicly traded companies. Some of our customers include Booking.com and Yahoo just to name a few. We are a globally dispersed, 100% remote company with a strong open-source focus. Our flagship open source project is FingerprintJS ( 0K+ stars on GitHub). We have raised $77M and are backed by Craft Ventures (previously invested in Tesla, Facebook, Airbnb), Nexus Venture Partners (previously invested in Postman, Apollo.io, MinIO, Druva) , and Uncorrelated Ventures (previously invested in Redis, Rollbar & Gradle).
Fraud Solution Profile
Fingerprint is a device intelligence solution that helps companies identify their online visitors with unmatched accuracy. By exposing insightful and accurate web and mobile signals, Fingerprint gives fraud, product and engineering teams the insights they need to understand – and take action on – the intentions of their visitors. This allows you to reduce fraudulent transactions, strengthen account security, and improve customer lifetime value. Whether you’re fighting bots, preventing fake accounts, or improving the customer journey, Fingerprint gives you the tools to act with confidence. It’s easy to implement, and trusted by companies worldwide to identify and understand their online visitors’ intentions.
Fingerprint identification (or visitor ID):
Fingerprint’s visitor ID is a stable, device-linked identifier that allows customers to recognize a physical device, even across cleared cookies, private browsing, or IP changes.
Smart Signals:
Smart Signals are 100+ real-time device, network, and behavioral signals that reveal visitor intent — helping teams detect hidden risks and make smarter trust and fraud decisions.
Dropbox
Checkout.com
NeuroID
Ecommerce, Financial Services, Insurance, Telecom
Identity & Authentication
Account Takeover, Content Abuse, Loyalty or Promo Abuse, New Account Fraud, Payment Fraud, Synthetic Identity Fraud
Machine Learning