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