Company AI fingerprint

Two companies, six capability axes, one chart. Where each polygon bulges tells you what that company is actually building. The asymmetries — not the absolute values — are the story.

Company A:
Company B:
Foundation trainingFoundation training Scale AI: 35% (35/101) Adobe: 31% (86/280)35% / 31%Inference infraInference infra Scale AI: 46% (46/101) Adobe: 52% (146/280)46% / 52%Agent platformAgent platform Scale AI: 46% (46/101) Adobe: 54% (151/280)46% / 54%Eval & safetyEval & safety Scale AI: 59% (60/101) Adobe: 41% (116/280)59% / 41%RAG / retrievalRAG / retrieval Scale AI: 17% (17/101) Adobe: 30% (83/280)17% / 30%Robotics + multimodalRobotics + multimodal Scale AI: 19% (19/101) Adobe: 32% (89/280)19% / 32%Research depthResearch depth Scale AI: 28% (28/101) Adobe: 10% (28/280)28% / 10%Scale AI · Foundation training: 35% (35/101)Scale AI · Inference infra: 46% (46/101)Scale AI · Agent platform: 46% (46/101)Scale AI · Eval & safety: 59% (60/101)Scale AI · RAG / retrieval: 17% (17/101)Scale AI · Robotics + multimodal: 19% (19/101)Scale AI · Research depth: 28% (28/101)Adobe · Foundation training: 31% (86/280)Adobe · Inference infra: 52% (146/280)Adobe · Agent platform: 54% (151/280)Adobe · Eval & safety: 41% (116/280)Adobe · RAG / retrieval: 30% (83/280)Adobe · Robotics + multimodal: 32% (89/280)Adobe · Research depth: 10% (28/280)Scale AI· 101 AI roles, 9 regulatedAdobe· 280 AI roles, 1 regulated
Each axis = share of company’s tagged AI roles touching that capability cluster. Outer ring = 100%, inner ring = 25%. Hover any vertex for the underlying count.

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