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) Capital One: 55% (120/219)35% / 55%Inference infraInference infra Scale AI: 46% (46/101) Capital One: 64% (141/219)46% / 64%Agent platformAgent platform Scale AI: 46% (46/101) Capital One: 33% (72/219)46% / 33%Eval & safetyEval & safety Scale AI: 59% (60/101) Capital One: 52% (113/219)59% / 52%RAG / retrievalRAG / retrieval Scale AI: 17% (17/101) Capital One: 59% (129/219)17% / 59%Robotics + multimodalRobotics + multimodal Scale AI: 19% (19/101) Capital One: 5% (11/219)19% / 5%Research depthResearch depth Scale AI: 28% (28/101) Capital One: 19% (42/219)28% / 19%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)Capital One · Foundation training: 55% (120/219)Capital One · Inference infra: 64% (141/219)Capital One · Agent platform: 33% (72/219)Capital One · Eval & safety: 52% (113/219)Capital One · RAG / retrieval: 59% (129/219)Capital One · Robotics + multimodal: 5% (11/219)Capital One · Research depth: 19% (42/219)Scale AI· 101 AI roles, 9 regulatedCapital One· 219 AI roles, 13 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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