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 NVIDIA: 21% (109/530) Salesforce: 12% (16/138)21% / 12%Inference infraInference infra NVIDIA: 79% (420/530) Salesforce: 26% (36/138)79% / 26%Agent platformAgent platform NVIDIA: 32% (170/530) Salesforce: 94% (130/138)32% / 94%Eval & safetyEval & safety NVIDIA: 27% (141/530) Salesforce: 52% (72/138)27% / 52%RAG / retrievalRAG / retrieval NVIDIA: 12% (64/530) Salesforce: 31% (43/138)12% / 31%Robotics + multimodalRobotics + multimodal NVIDIA: 25% (134/530) Salesforce: 2% (3/138)25% / 2%Research depthResearch depth NVIDIA: 12% (64/530) Salesforce: 17% (24/138)12% / 17%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 · 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· 530 AI roles, 8 regulatedSalesforce· 138 AI roles, 11 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.

Suggested comparisons