평가 방법론

    Korea AI가 제품 영향력, 글로벌 경쟁력, 방어력, 성장 효율, AI 중심성, 근거 수준을 평가하는 방법입니다.

    서로 독립적인 다섯 지표

    Impact

    제품 고유의 채택 규모, 워크플로 깊이, 도달 범위

    Product-specific adoption, workflow depth, and reach. Domain importance and parent-platform exposure do not count.

    Global

    해외 채택과 글로벌 인프라 적합성

    International adoption, named overseas customers, regulatory reach, and infrastructure or developer ecosystem fit.

    Protected

    범용 모델이 대체하기 어려운 방어력

    Workflow depth, proprietary data, switching costs, regulated deployment, hardware constraints, and durable networks.

    Breakout

    기업 규모 대비 제품 성과

    Product quality and adoption efficiency normalized for company size, so emerging teams can surface without pretending to be larger.

    AI Core

    제품 가치에서 AI가 차지하는 비중

    How central AI is to the product rather than a minor feature added to a larger non-AI surface.

    근거가 점수보다 먼저입니다

    점수의 신뢰도는 공개 근거에 달려 있습니다. 근거 배지는 신뢰 수준을 설명하며 숫자를 몰래 바꾸지 않습니다.

    Sourced

    Official or credible public sources plus adoption evidence or a written score rationale.

    Partly sourced

    At least one source, adoption signal, or rationale, but not enough to independently support the full assessment.

    Unverified

    No source, product-specific adoption signal, or individual rationale. Treat the score as a catalog placeholder.

    예외 없는 상한 규칙

    Adoption

    Parent-platform reach, bundled exposure, downloads, API calls, and unnamed enterprise labels do not become product users.

    Regulated niches

    Clearance is a defensibility signal, not Impact. With no equivalent deployment proof, userCount 0 products are capped at 78.

    AI hardware

    No named deployment caps Impact at 78; one regional deployment at 82; multi-partner or quantified volume at 86; global standard is uncapped.