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) Salesforce: 12% (16/139)30% / 12%Inference infraInference infra Visa: 49% (51/105) Salesforce: 27% (37/139)49% / 27%Agent platformAgent platform Visa: 61% (64/105) Salesforce: 94% (131/139)61% / 94%Eval & safetyEval & safety Visa: 60% (63/105) Salesforce: 53% (73/139)60% / 53%RAG / retrievalRAG / retrieval Visa: 36% (38/105) Salesforce: 31% (43/139)36% / 31%Robotics + multimodalRobotics + multimodal Visa: 4% (4/105) Salesforce: 2% (3/139)4% / 2%Research depthResearch depth Visa: 10% (11/105) Salesforce: 17% (24/139)10% / 17%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)Salesforce · Foundation training: 12% (16/139)Salesforce · Inference infra: 27% (37/139)Salesforce · Agent platform: 94% (131/139)Salesforce · Eval & safety: 53% (73/139)Salesforce · RAG / retrieval: 31% (43/139)Salesforce · Robotics + multimodal: 2% (3/139)Salesforce · Research depth: 17% (24/139)Visa· 105 AI roles, 15 regulatedSalesforce· 139 AI roles, 12 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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