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 Visa: 30% (31/105) Capital One: 55% (120/219)30% / 55%Inference infraInference infra Visa: 49% (51/105) Capital One: 64% (141/219)49% / 64%Agent platformAgent platform Visa: 61% (64/105) Capital One: 33% (72/219)61% / 33%Eval & safetyEval & safety Visa: 60% (63/105) Capital One: 52% (113/219)60% / 52%RAG / retrievalRAG / retrieval Visa: 36% (38/105) Capital One: 59% (129/219)36% / 59%Robotics + multimodalRobotics + multimodal Visa: 4% (4/105) Capital One: 5% (11/219)4% / 5%Research depthResearch depth Visa: 10% (11/105) Capital One: 19% (42/219)10% / 19%Visa · Foundation training: 30% (31/105)Visa · Inference infra: 49% (51/105)Visa · Agent platform: 61% (64/105)Visa · Eval & safety: 60% (63/105)Visa · RAG / retrieval: 36% (38/105)Visa · Robotics + multimodal: 4% (4/105)Visa · Research depth: 10% (11/105)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)Visa· 105 AI roles, 15 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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