Human-verified LLM-use detection with contestable appeals workflow

Human-verified LLM-use detection with contestable appeals workflow targets a $4.8B = 480,000 digital platforms & publishing/education organizations × $10K ACV total addressable market with medium saturation and a year-over-year growth rate of 18% YoY estimated based on growth in content-moderation tooling and AI safety spend (industry reports on content moderation and AI governance).

Key trends driving demand: Increase in AI-generated content — this raises both detection demand and false-positive risk, creating a need for verified human review workflows.; Regulatory pressure (e.g., EU AI Act) — platforms need auditable detection and appeals processes to meet compliance and transparency obligations.; Advertiser and brand safety scrutiny — advertisers are pressuring platforms to ensure content provenance, increasing demand for reliable detection and dispute resolution.; Shift to hybrid detection — customers prefer ensemble model outputs combined with human-in-the-loop verification rather than single-model black-box decisions..