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 Adobe: 31% (86/279) Scale AI: 35% (35/101)31% / 35%Inference infraInference infra Adobe: 52% (145/279) Scale AI: 46% (46/101)52% / 46%Agent platformAgent platform Adobe: 54% (150/279) Scale AI: 46% (46/101)54% / 46%Eval & safetyEval & safety Adobe: 42% (116/279) Scale AI: 59% (60/101)42% / 59%RAG / retrievalRAG / retrieval Adobe: 30% (83/279) Scale AI: 17% (17/101)30% / 17%Robotics + multimodalRobotics + multimodal Adobe: 32% (88/279) Scale AI: 19% (19/101)32% / 19%Research depthResearch depth Adobe: 10% (28/279) Scale AI: 28% (28/101)10% / 28%Adobe · Foundation training: 31% (86/279)Adobe · Inference infra: 52% (145/279)Adobe · Agent platform: 54% (150/279)Adobe · Eval & safety: 42% (116/279)Adobe · RAG / retrieval: 30% (83/279)Adobe · Robotics + multimodal: 32% (88/279)Adobe · Research depth: 10% (28/279)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· 279 AI roles, 1 regulatedScale AI· 101 AI roles, 9 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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