AI-Powered Platforms that Detect Plagiarized Content Online Attract Investors

IBL News | New York

AI-powered plagiarism detection is gaining momentum.

Utilizing natural language processing (NLP) technology boosted by machine learning algorithms looks like a smart approach, rather than using the traditional word-for-word match approach to detect plagiarism is what new companies such as Stamford, Connecticut-based Copyleaks are doing.

This week, this company announced that it raised $6 million in Series A funding. The financing was led by the Israeli venture capital firm JAL Venture.

Copyleaks said that it will use the capital raised “to expand its presence across industries, safeguard its intellectual property, and continue to provide cutting-edge AI solutions,” according to a press release. “Copyleaks’ main differentiator will be distinguishing plagiarism across languages, such as from English to Spanish, and scanning for a writer’s stylistic voice.”

Currently, the firm works for organizations such as Oakland University, SEMrush, and UNICEF. Education.

“Our use of artificial intelligence allows for a very comprehensive text originality analysis, copyright infringement detection, and AI grading,” said the company.

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