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 Scale AI: 35% (35/101) NVIDIA: 21% (109/530)35% / 21%Inference infraInference infra Scale AI: 46% (46/101) NVIDIA: 79% (420/530)46% / 79%Agent platformAgent platform Scale AI: 46% (46/101) NVIDIA: 32% (170/530)46% / 32%Eval & safetyEval & safety Scale AI: 59% (60/101) NVIDIA: 27% (141/530)59% / 27%RAG / retrievalRAG / retrieval Scale AI: 17% (17/101) NVIDIA: 12% (64/530)17% / 12%Robotics + multimodalRobotics + multimodal Scale AI: 19% (19/101) NVIDIA: 25% (134/530)19% / 25%Research depthResearch depth Scale AI: 28% (28/101) NVIDIA: 12% (64/530)28% / 12%Scale AI · Foundation training: 35% (35/101)Scale AI · Inference infra: 46% (46/101)Scale AI · Agent platform: 46% (46/101)Scale AI · Eval & safety: 59% (60/101)Scale AI · RAG / retrieval: 17% (17/101)Scale AI · Robotics + multimodal: 19% (19/101)Scale AI · Research depth: 28% (28/101)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)Scale AI· 101 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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