How was Viper's AI detection model trained?

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Last edited: 17th Oct 2025

Viper runs on AI detection technology that has been developed using extensive research and large-scale language data to distinguish between human writing and AI-generated text.

Over many years, the system has analysed trillions of examples of writing from a wide range of sources - including academic, professional, and creative content - to understand how people naturally use language. By comparing these human writing patterns with text produced by AI tools, our detection model can identify the subtle statistical and structural differences between the two.

The model continues to evolve as AI writing technology advances. It learns from new patterns of phrasing, syntax, and rhythm that AI systems produce, which helps it recognise emerging generative models quickly and accurately.

This continual learning process enables Viper to provide a highly accurate, data-driven assessment of whether a document may contain AI-generated text, while maintaining the same commitment to privacy and security as our plagiarism checks.

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