AI Plagiarism Spotter Copyleaks Raises $6M
AI text authenticator and plagiarism checking startup Copyleaks has raised $6 million in a Series A funding round led by JAL Ventures. Copyleaks applies natural language processing and machine learning to understanding text well enough to identify the writer and spot any repeated or paraphrased text from other sources.
Copyleaks is designed for educational and media organizations looking for instances of plagiarism or copyright infringement. The AI parses text for not just the words, but the style, substance, and context where its used. That means it could potentially find out if someone has paraphrased or slightly edited a text as well as if they have literally copied and pasted a paragraph. The AI tool and related API can perform these forensic linguistics in more than 100 languages. Educational groups like Macmillan Publishers and Stanford University utilize Copyleaks to ensure academic ethical standards are upheld, while content providers such as Medium and the BBC leverage it to protect their copyrighted articles and posts. That’s also how Copyleaks’ enterprise clients like and even big companies like Cisco and Accenture apply the technology.
“Copyleaks’s technology can recognize the writer’s ‘voice’ and the meaning of things in the original text, thus managing to carry out a comparison and identify any non-original text in more than a hundred languages,” Copyleaks CEO Alon Yamin said in a statement. “The great advantage of our system is our AI capabilities, which allow us to truly understand the text and thus identify non-original content that has been edited in one way or another. Our service is offered both in the form of an online service to millions of registered users and as an API embedded in the systems of our hundreds of institutional customers, and enables them to meet their unique content needs,” he adds.
Copyleaks has raised $7.8 million since it was founded in 2015. It offers a specific use case in the growing field of AI-assisted writing and editing tools that have begun to mushroom in recent years. For instance, interactive AI writing guide developer Writer raised $21 million at the end of last year to improve and standardize marketing copy for businesses. On the much higher end of funding, Grammarly raised a massive $200 million to further develop its own AI writing assistant. And GPT-3 has spawned a whole stable of similar products. Compose.ai raised $2.1 million for a universal auto-complete system and Copy.ai, raised $2.9 million to use GPT-3 to help businesses write advertisements, product descriptions, social media posts, and other text.