TypingDNA

TypingDNA sells behavioral biometrics technology that authenticates or verifies users based on how they type — keystroke timing, rhythm, and pressure patterns — rather than what they know (a password) or what they physically hold (a token). The core use case is continuous or step-up authentication layered on top of existing login flows: banks, payment processors, and online proctoring and education platforms use it to flag account-takeover attempts or exam-taking impersonation without adding visible friction for legitimate users.

Founded in Bucharest, Romania in 2016 by Raul Popa and Cristian Tamas, the company later established a US headquarters in Brooklyn, New York, and raised a $7 million Series A led by Gradient Ventures, Google’s AI-focused venture fund, following an earlier seed round from Gecad Ventures and angel investors. The company has grown to roughly 150 employees, putting it among the more established vendors in the behavioral-biometrics niche.

TypingDNA’s technology addresses a real gap: most MFA and biometric approaches (fingerprint, face) require dedicated hardware or an explicit user action, while keystroke dynamics can run passively in the background on any device with a keyboard, including during remote exams and call-center identity checks. Its main limitation is that keystroke patterns are inherently less reliable on mobile touchscreens and cannot fully replace stronger possession- or hardware-based factors for the highest-assurance use cases.