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 Capital One: 55% (120/219) Adobe: 31% (86/279)55% / 31%Inference infraInference infra Capital One: 64% (141/219) Adobe: 52% (145/279)64% / 52%Agent platformAgent platform Capital One: 33% (72/219) Adobe: 54% (150/279)33% / 54%Eval & safetyEval & safety Capital One: 52% (113/219) Adobe: 42% (116/279)52% / 42%RAG / retrievalRAG / retrieval Capital One: 59% (129/219) Adobe: 30% (83/279)59% / 30%Robotics + multimodalRobotics + multimodal Capital One: 5% (11/219) Adobe: 32% (88/279)5% / 32%Research depthResearch depth Capital One: 19% (42/219) Adobe: 10% (28/279)19% / 10%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)Adobe · Foundation training: 31% (86/279)Adobe · Inference infra: 52% (145/279)Adobe · Agent platform: 54% (150/279)Adobe · Eval & safety: 42% (116/279)Adobe · RAG / retrieval: 30% (83/279)Adobe · Robotics + multimodal: 32% (88/279)Adobe · Research depth: 10% (28/279)Capital One· 219 AI roles, 13 regulatedAdobe· 279 AI roles, 1 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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