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) Capital One: 55% (120/219)12% / 55%Inference infraInference infra Salesforce: 26% (36/138) Capital One: 64% (141/219)26% / 64%Agent platformAgent platform Salesforce: 94% (130/138) Capital One: 33% (72/219)94% / 33%Eval & safetyEval & safety Salesforce: 52% (72/138) Capital One: 52% (113/219)52% / 52%RAG / retrievalRAG / retrieval Salesforce: 31% (43/138) Capital One: 59% (129/219)31% / 59%Robotics + multimodalRobotics + multimodal Salesforce: 2% (3/138) Capital One: 5% (11/219)2% / 5%Research depthResearch depth Salesforce: 17% (24/138) Capital One: 19% (42/219)17% / 19%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)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)Salesforce· 138 AI roles, 11 regulatedCapital One· 219 AI roles, 13 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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