AI-powered platforms that detect plagiarized content online are attracting investors
IBL News | new York
AI-supported plagiarism detection is gaining in importance.
Using natural language processing (NLP) technology backed by machine learning algorithms seems like a smarter approach, rather than using the traditional word-for-word match approach to plagiarism detection, which new companies like Copyleaks of Stamford, Connecticut.
This week, this company announced that it had raised $6 million in Series A funding. The funding was led by Israeli venture capital firm JAL Venture.
Copyleaks said it will use the capital raised “to expand its footprint across industries, protect its intellectual property and continue to provide cutting-edge AI solutions,” according to a press release. “The main distinguishing feature of copyleaks will be the distinction of plagiarism in different languages, e.g. from English to Spanish, and scanning for an author’s stylistic voice.”
The company currently works for organizations such as Oakland University, SEMrush and UNICEF. Education.
“Our use of artificial intelligence enables very comprehensive text originality analysis, copyright infringement detection and AI scoring,‘ the company said.