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 Visa: 30% (31/105) OpenAI: 27% (62/230)30% / 27%Inference infraInference infra Visa: 49% (51/105) OpenAI: 48% (111/230)49% / 48%Agent platformAgent platform Visa: 61% (64/105) OpenAI: 37% (84/230)61% / 37%Eval & safetyEval & safety Visa: 60% (63/105) OpenAI: 58% (133/230)60% / 58%RAG / retrievalRAG / retrieval Visa: 36% (38/105) OpenAI: 13% (30/230)36% / 13%Robotics + multimodalRobotics + multimodal Visa: 4% (4/105) OpenAI: 7% (17/230)4% / 7%Research depthResearch depth Visa: 10% (11/105) OpenAI: 14% (32/230)10% / 14%Visa · Foundation training: 30% (31/105)Visa · Inference infra: 49% (51/105)Visa · Agent platform: 61% (64/105)Visa · Eval & safety: 60% (63/105)Visa · RAG / retrieval: 36% (38/105)Visa · Robotics + multimodal: 4% (4/105)Visa · Research depth: 10% (11/105)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)Visa· 105 AI roles, 15 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.

Suggested comparisons