Business
TNL Mediagene Delivers $4M Digital Studio Project with AI, Cutting Review Costs by Over 98%
The Company processed over 6,000 applications for a government-backed youth program in Taiwan using AI-assisted review technology, marking the largest batch
About this update from Tnl Mediagene
[{"type":"text","content":"\n\nThe Company processed over 6,000 applications for a government-backed youth program in Taiwan using AI-assisted review technology, marking the largest batch in its Digital Studio history\n\n\nThe AI-assisted review reduced application review costs to approximately $0.02 per application—over 98% lower than traditional manual processes—while improving consistency, traceability, and scalability\n\n\nThe project demonstrates the Company's ability to transform labor-intensive services into scalable, technology-driven systems aligned with its 2026 strategy of operational efficiency and AI-powered growth\n\n\nTokyo, Japan--(Newsfile Corp. - April 14, 2026) - TNL Mediagene (NASDAQ: TNMG) (the \"Company\"), a technology and digital media company providing AI-driven advertising, marketing technology, content commerce and data analytics solutions, and operating multi-language digital media brands across Asia, today announced the successful completion of the largest application review batch in its Digital Studio division's history, processing over 6,000 applications for a major government-backed youth development program in Taiwan using proprietary AI-assisted review technology.\nThe milestone represents a significant operational transformation for the Company's Digital Studio business. The project, valued at approximately $4 million*1 — reflecting full program delivery including platform integration, coordination, and program management — demonstrates the Company's ability to embed AI-driven efficiencies within complex, multi-stage engagements, converting traditionally manual, service-based operations into scalable, technology-driven systems with measurable efficiency gains.\nFrom Manual to AI-Driven: 98% Cost Reduction Per Application\nPreviously, each application required approximately 15 minutes of manual review by trained staff, resulting in subjective evaluation standards, high operational overhead, and limited scalability. The Company's AI-assisted review system has reduced the total cost per application to approximately $0.02 per application for 6,000+ applications, representing a cost reduction of more than 98% compared to traditional manual review methods.\nThe AI-driven system standardizes review decisions, creates traceable audit trails, and enables quantifiable quality metrics—transforming a subjective, labor-intensive eval...