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 NVIDIA: 21% (109/530) OpenAI: 27% (61/228)21% / 27%Inference infraInference infra NVIDIA: 79% (420/530) OpenAI: 48% (109/228)79% / 48%Agent platformAgent platform NVIDIA: 32% (170/530) OpenAI: 36% (83/228)32% / 36%Eval & safetyEval & safety NVIDIA: 27% (141/530) OpenAI: 58% (132/228)27% / 58%RAG / retrievalRAG / retrieval NVIDIA: 12% (64/530) OpenAI: 13% (30/228)12% / 13%Robotics + multimodalRobotics + multimodal NVIDIA: 25% (134/530) OpenAI: 7% (17/228)25% / 7%Research depthResearch depth NVIDIA: 12% (64/530) OpenAI: 14% (32/228)12% / 14%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 · Foundation training: 27% (61/228)OpenAI · Inference infra: 48% (109/228)OpenAI · Agent platform: 36% (83/228)OpenAI · Eval & safety: 58% (132/228)OpenAI · RAG / retrieval: 13% (30/228)OpenAI · Robotics + multimodal: 7% (17/228)OpenAI · Research depth: 14% (32/228)NVIDIA· 530 AI roles, 8 regulatedOpenAI· 228 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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