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