AI Content Authenticity Detection and Scoring Platform
P5/10May 28, 2026
WhatA real-time API and browser extension that scores text, code, and design artifacts on a spectrum of AI-generated likelihood using stylistic fingerprinting rather than watermarking.
SignalThe proliferation of identifiable LLM patterns across writing, code, and UI design has created demand for tools that can reliably distinguish human from AI output, especially as these patterns become catalogued and widely known.
Why NowLLM adoption has crossed the mainstream threshold in 2025-2026, flooding professional communications, code reviews, and design deliverables with detectable AI patterns, while existing detection tools remain unreliable.
MarketHR/recruiting firms, academic institutions, publishers, and content platforms pay; TAM $2B+ in content integrity; competitors like GPTZero and Originality.ai exist but accuracy remains poor and none focus on code/design.
MoatProprietary corpus of labeled human vs. AI artifacts across modalities (text, code, design) that improves with scale, creating a data flywheel competitors cannot easily replicate.
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