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) NVIDIA: 21% (109/530)47% / 21%Inference infraInference infra xAI: 19% (18/93) NVIDIA: 79% (420/530)19% / 79%Agent platformAgent platform xAI: 14% (13/93) NVIDIA: 32% (170/530)14% / 32%Eval & safetyEval & safety xAI: 29% (27/93) NVIDIA: 27% (141/530)29% / 27%RAG / retrievalRAG / retrieval xAI: 2% (2/93) NVIDIA: 12% (64/530)2% / 12%Robotics + multimodalRobotics + multimodal xAI: 53% (49/93) NVIDIA: 25% (134/530)53% / 25%Research depthResearch depth xAI: 57% (53/93) NVIDIA: 12% (64/530)57% / 12%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 · 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· 93 AI roles, 2 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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