Organizations cannot reliably detect AI-generated content at scale without expensive proprietary tools

Companies, educators, and content platforms struggle to identify LLM-generated text in user submissions, academic work, and published content. Current detection relies on expensive commercial APIs or unreliable heuristics, leaving organizations vulnerable to undetected AI content that undermines authenticity, academic integrity, and content quality. Existing solutions are either cost-prohibitive for widespread deployment or have high false-positive rates that frustrate legitimate users.