Incognia provides cross-device user recognition by combining app security, device identity, and location intelligence to distinguish legitimate users from fraudsters. The platform uses AI-powered signals to prevent fraud, account takeover, and location spoofing across various industries like ride-sharing and financial services. This results in reduced fraud losses and a more frictionless experience for genuine platform users.
Funding
$31M 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
Mobile applications are vulnerable to fraud and abuse, including account takeover, promo abuse, and ban evasion, leading to financial losses and diminished user trust. Traditional device identification methods are often unreliable due to device resets, emulators, and location spoofing. This makes it difficult to accurately identify and verify legitimate users, resulting in friction and false positives.
Solution
Incognia offers a device fingerprinting and location intelligence solution that accurately identifies users across multiple devices and locations. By combining device fingerprinting with location behavior analysis, Incognia provides a robust signal that recognizes users even after a factory reset or when using emulators. This enables businesses to prevent fraud, reduce false positives, and provide a frictionless experience for legitimate users. The technology helps to solve critical fraud and authentication challenges across various industries, including food delivery, ride-sharing, marketplaces, and financial services.
Target Audience
Incognia primarily targets mobile-first companies in industries such as food delivery, ride-sharing, online marketplaces, and financial services that are seeking to reduce fraud and improve user verification processes.
Features
- Device fingerprinting that persists across device resets and app reinstalls
- Location intelligence based on indoor location behavior and trusted/suspicious location recognition
- Tamper detection to identify location spoofing, root/jailbreak, app tampering, and emulator usage
- Risk scoring based on device and location signals to identify potentially fraudulent activity
- Real-time user verification to reduce friction for legitimate users
- Integrates with existing fraud prevention systems via API