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) OpenAI: 27% (62/230)12% / 27%Inference infraInference infra Salesforce: 26% (36/138) OpenAI: 48% (111/230)26% / 48%Agent platformAgent platform Salesforce: 94% (130/138) OpenAI: 37% (84/230)94% / 37%Eval & safetyEval & safety Salesforce: 52% (72/138) OpenAI: 58% (133/230)52% / 58%RAG / retrievalRAG / retrieval Salesforce: 31% (43/138) OpenAI: 13% (30/230)31% / 13%Robotics + multimodalRobotics + multimodal Salesforce: 2% (3/138) OpenAI: 7% (17/230)2% / 7%Research depthResearch depth Salesforce: 17% (24/138) OpenAI: 14% (32/230)17% / 14%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)OpenAI · Foundation training: 27% (62/230)OpenAI · Inference infra: 48% (111/230)OpenAI · Agent platform: 37% (84/230)OpenAI · Eval & safety: 58% (133/230)OpenAI · RAG / retrieval: 13% (30/230)OpenAI · Robotics + multimodal: 7% (17/230)OpenAI · Research depth: 14% (32/230)Salesforce· 138 AI roles, 11 regulatedOpenAI· 230 AI roles, 9 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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