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

Suggested comparisons