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 Capital One: 55% (120/219) NVIDIA: 21% (109/530)55% / 21%Inference infraInference infra Capital One: 64% (141/219) NVIDIA: 79% (420/530)64% / 79%Agent platformAgent platform Capital One: 33% (72/219) NVIDIA: 32% (170/530)33% / 32%Eval & safetyEval & safety Capital One: 52% (113/219) NVIDIA: 27% (141/530)52% / 27%RAG / retrievalRAG / retrieval Capital One: 59% (129/219) NVIDIA: 12% (64/530)59% / 12%Robotics + multimodalRobotics + multimodal Capital One: 5% (11/219) NVIDIA: 25% (134/530)5% / 25%Research depthResearch depth Capital One: 19% (42/219) NVIDIA: 12% (64/530)19% / 12%Capital One · Foundation training: 55% (120/219)Capital One · Inference infra: 64% (141/219)Capital One · Agent platform: 33% (72/219)Capital One · Eval & safety: 52% (113/219)Capital One · RAG / retrieval: 59% (129/219)Capital One · Robotics + multimodal: 5% (11/219)Capital One · Research depth: 19% (42/219)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)Capital One· 219 AI roles, 13 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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