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 xAI: 47% (44/93) Capital One: 55% (120/219)47% / 55%Inference infraInference infra xAI: 19% (18/93) Capital One: 64% (141/219)19% / 64%Agent platformAgent platform xAI: 14% (13/93) Capital One: 33% (72/219)14% / 33%Eval & safetyEval & safety xAI: 29% (27/93) Capital One: 52% (113/219)29% / 52%RAG / retrievalRAG / retrieval xAI: 2% (2/93) Capital One: 59% (129/219)2% / 59%Robotics + multimodalRobotics + multimodal xAI: 53% (49/93) Capital One: 5% (11/219)53% / 5%Research depthResearch depth xAI: 57% (53/93) Capital One: 19% (42/219)57% / 19%xAI · Foundation training: 47% (44/93)xAI · Inference infra: 19% (18/93)xAI · Agent platform: 14% (13/93)xAI · Eval & safety: 29% (27/93)xAI · RAG / retrieval: 2% (2/93)xAI · Robotics + multimodal: 53% (49/93)xAI · Research depth: 57% (53/93)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)xAI· 93 AI roles, 2 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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