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 Salesforce: 12% (16/138) NVIDIA: 21% (109/530)12% / 21%Inference infraInference infra Salesforce: 26% (36/138) NVIDIA: 79% (420/530)26% / 79%Agent platformAgent platform Salesforce: 94% (130/138) NVIDIA: 32% (170/530)94% / 32%Eval & safetyEval & safety Salesforce: 52% (72/138) NVIDIA: 27% (141/530)52% / 27%RAG / retrievalRAG / retrieval Salesforce: 31% (43/138) NVIDIA: 12% (64/530)31% / 12%Robotics + multimodalRobotics + multimodal Salesforce: 2% (3/138) NVIDIA: 25% (134/530)2% / 25%Research depthResearch depth Salesforce: 17% (24/138) NVIDIA: 12% (64/530)17% / 12%Salesforce · Foundation training: 12% (16/138)Salesforce · Inference infra: 26% (36/138)Salesforce · Agent platform: 94% (130/138)Salesforce · Eval & safety: 52% (72/138)Salesforce · RAG / retrieval: 31% (43/138)Salesforce · Robotics + multimodal: 2% (3/138)Salesforce · Research depth: 17% (24/138)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)Salesforce· 138 AI roles, 11 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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