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) NVIDIA: 21% (109/530)27% / 21%Inference infraInference infra OpenAI: 48% (111/230) NVIDIA: 79% (420/530)48% / 79%Agent platformAgent platform OpenAI: 37% (84/230) NVIDIA: 32% (170/530)37% / 32%Eval & safetyEval & safety OpenAI: 58% (133/230) NVIDIA: 27% (141/530)58% / 27%RAG / retrievalRAG / retrieval OpenAI: 13% (30/230) NVIDIA: 12% (64/530)13% / 12%Robotics + multimodalRobotics + multimodal OpenAI: 7% (17/230) NVIDIA: 25% (134/530)7% / 25%Research depthResearch depth OpenAI: 14% (32/230) NVIDIA: 12% (64/530)14% / 12%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)NVIDIA · Foundation training: 21% (109/530)NVIDIA · Inference infra: 79% (420/530)NVIDIA · Agent platform: 32% (170/530)NVIDIA · Eval & safety: 27% (141/530)NVIDIA · RAG / retrieval: 12% (64/530)NVIDIA · Robotics + multimodal: 25% (134/530)NVIDIA · Research depth: 12% (64/530)OpenAI· 230 AI roles, 9 regulatedNVIDIA· 530 AI roles, 8 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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