TypingDNA is a four-year-old and 18-person startup founded in Bucharest, Romania and recently moved its headquarters to Brooklyn, New York. This startup that closed on $7million in Series A funding has something interesting: it incorporates AI-driven technology that can recognize people based on how they type on their laptop and mobile devices.
A recently discovered SEC filing shows the company that graduated from Techstars NYC in late 2018 and early last year closed an amount of €1.3 million in seed funding. They so far raised $5.25 million toward the goal. The company’s co-founder and CEO, Raul Popa confirmed to Techcrunch the entire amount has been raised. The investor group list consists of names like Gradient Ventures, Google’s nearly three-year-old AI-focused venture group who led the round. It was joined by the company’s previous backers, including Techstars Ventures and GapMinder Venture Partners, a venture outfit in Amsterdam.
TypingDNA deals in Typing biometrics which analyses exactly when each key is pressed and released to identify the unique person at the keyboard. While it is not new and an article by PCWorld says that the research in the field dates back 20 years ago. It informs that inaccuracies have kept the technology from being used as a widespread way in identification.
TypingDNA asserts that its typing pattern recognition technology has an accuracy rate of 99% and 99.9%. It is currently working with banks, financial and payment apps, online education platforms, consumer apps among others. The API is open to anyone-especially developers.
Popa said that TypingDNA combines pattern recognition, anomaly detection, and what he calls one-short learning techniques. His team doesn’t need a huge body of work to draw conclusions and require very short and few samples to authenticate people with great accuracy. He said the mobile tech requires even less data on a desktop because it takes information from other sensors too.
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