Every professional film, advertisement campaign, and TV series requires Quality Control (QC), which is a bottleneck, with each project taking 2-4 days and costing $1,000-$15,000 per project. Human QC is slow and repetitive, teams scrub frame by frame with Excel checklists, missing ~15% errors that trigger costly reshoots, fines, or brand damage. With AI-generated content exploding, QC demand will increase 100 times while human capacity remains fixed
$1000-$15000 Per Project
$100-$1500 Per Project
While content production scales 10x with AI generation, QC demand will explode 10x while human capacity stays fixed. Current AI solutions fail because they lack the iterative reasoning and visual precision needed for professional Quality Control Review.
GPT-4V and Gemini Pro Vision give one caption per frame. Professional QC requires iterative analysis, zooming in on suspicious areas, and cross-referencing across sequences.
Current AI can't draw bounding boxes, arrows, or highlight specific regions. QC teams need visual annotations they can act on immediately.
Can't adapt to specific brand guidelines, compliance rules, or project requirements. Each studio has unique QC standards that generic AI can't understand.
“Save 90% on QC costs while getting 500x faster results”
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