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 OpenAI: 27% (62/230) xAI: 47% (44/93)27% / 47%Inference infraInference infra OpenAI: 48% (111/230) xAI: 19% (18/93)48% / 19%Agent platformAgent platform OpenAI: 37% (84/230) xAI: 14% (13/93)37% / 14%Eval & safetyEval & safety OpenAI: 58% (133/230) xAI: 29% (27/93)58% / 29%RAG / retrievalRAG / retrieval OpenAI: 13% (30/230) xAI: 2% (2/93)13% / 2%Robotics + multimodalRobotics + multimodal OpenAI: 7% (17/230) xAI: 53% (49/93)7% / 53%Research depthResearch depth OpenAI: 14% (32/230) xAI: 57% (53/93)14% / 57%OpenAI · Foundation training: 27% (62/230)OpenAI · Inference infra: 48% (111/230)OpenAI · Agent platform: 37% (84/230)OpenAI · Eval & safety: 58% (133/230)OpenAI · RAG / retrieval: 13% (30/230)OpenAI · Robotics + multimodal: 7% (17/230)OpenAI · Research depth: 14% (32/230)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)OpenAI· 230 AI roles, 9 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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