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 Anthropic: 45% (109/243) OpenAI: 27% (61/228)45% / 27%Inference infraInference infra Anthropic: 53% (130/243) OpenAI: 48% (109/228)53% / 48%Agent platformAgent platform Anthropic: 31% (76/243) OpenAI: 36% (83/228)31% / 36%Eval & safetyEval & safety Anthropic: 64% (155/243) OpenAI: 58% (132/228)64% / 58%RAG / retrievalRAG / retrieval Anthropic: 10% (24/243) OpenAI: 13% (30/228)10% / 13%Robotics + multimodalRobotics + multimodal Anthropic: 7% (17/243) OpenAI: 7% (17/228)7% / 7%Research depthResearch depth Anthropic: 30% (74/243) OpenAI: 14% (32/228)30% / 14%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)OpenAI · Foundation training: 27% (61/228)OpenAI · Inference infra: 48% (109/228)OpenAI · Agent platform: 36% (83/228)OpenAI · Eval & safety: 58% (132/228)OpenAI · RAG / retrieval: 13% (30/228)OpenAI · Robotics + multimodal: 7% (17/228)OpenAI · Research depth: 14% (32/228)Anthropic· 243 AI roles, 6 regulatedOpenAI· 228 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.

Suggested comparisons