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) Anthropic: 45% (109/243)31% / 45%Inference infraInference infra Adobe: 52% (145/279) Anthropic: 53% (130/243)52% / 53%Agent platformAgent platform Adobe: 54% (150/279) Anthropic: 31% (76/243)54% / 31%Eval & safetyEval & safety Adobe: 42% (116/279) Anthropic: 64% (155/243)42% / 64%RAG / retrievalRAG / retrieval Adobe: 30% (83/279) Anthropic: 10% (24/243)30% / 10%Robotics + multimodalRobotics + multimodal Adobe: 32% (88/279) Anthropic: 7% (17/243)32% / 7%Research depthResearch depth Adobe: 10% (28/279) Anthropic: 30% (74/243)10% / 30%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)Anthropic · Foundation training: 45% (109/243)Anthropic · Inference infra: 53% (130/243)Anthropic · Agent platform: 31% (76/243)Anthropic · Eval & safety: 64% (155/243)Anthropic · RAG / retrieval: 10% (24/243)Anthropic · Robotics + multimodal: 7% (17/243)Anthropic · Research depth: 30% (74/243)Adobe· 279 AI roles, 1 regulatedAnthropic· 243 AI roles, 6 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