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 Visa: 30% (31/105) NVIDIA: 21% (109/530)30% / 21%Inference infraInference infra Visa: 49% (51/105) NVIDIA: 79% (420/530)49% / 79%Agent platformAgent platform Visa: 61% (64/105) NVIDIA: 32% (170/530)61% / 32%Eval & safetyEval & safety Visa: 60% (63/105) NVIDIA: 27% (141/530)60% / 27%RAG / retrievalRAG / retrieval Visa: 36% (38/105) NVIDIA: 12% (64/530)36% / 12%Robotics + multimodalRobotics + multimodal Visa: 4% (4/105) NVIDIA: 25% (134/530)4% / 25%Research depthResearch depth Visa: 10% (11/105) NVIDIA: 12% (64/530)10% / 12%Visa · Foundation training: 30% (31/105)Visa · Inference infra: 49% (51/105)Visa · Agent platform: 61% (64/105)Visa · Eval & safety: 60% (63/105)Visa · RAG / retrieval: 36% (38/105)Visa · Robotics + multimodal: 4% (4/105)Visa · Research depth: 10% (11/105)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)Visa· 105 AI roles, 15 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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