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) xAI: 47% (44/93)21% / 47%Inference infraInference infra NVIDIA: 79% (420/530) xAI: 19% (18/93)79% / 19%Agent platformAgent platform NVIDIA: 32% (170/530) xAI: 14% (13/93)32% / 14%Eval & safetyEval & safety NVIDIA: 27% (141/530) xAI: 29% (27/93)27% / 29%RAG / retrievalRAG / retrieval NVIDIA: 12% (64/530) xAI: 2% (2/93)12% / 2%Robotics + multimodalRobotics + multimodal NVIDIA: 25% (134/530) xAI: 53% (49/93)25% / 53%Research depthResearch depth NVIDIA: 12% (64/530) xAI: 57% (53/93)12% / 57%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)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)NVIDIA· 530 AI roles, 8 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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