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 Scale AI: 35% (35/101) OpenAI: 27% (62/230)35% / 27%Inference infraInference infra Scale AI: 46% (46/101) OpenAI: 48% (111/230)46% / 48%Agent platformAgent platform Scale AI: 46% (46/101) OpenAI: 37% (84/230)46% / 37%Eval & safetyEval & safety Scale AI: 59% (60/101) OpenAI: 58% (133/230)59% / 58%RAG / retrievalRAG / retrieval Scale AI: 17% (17/101) OpenAI: 13% (30/230)17% / 13%Robotics + multimodalRobotics + multimodal Scale AI: 19% (19/101) OpenAI: 7% (17/230)19% / 7%Research depthResearch depth Scale AI: 28% (28/101) OpenAI: 14% (32/230)28% / 14%Scale AI · Foundation training: 35% (35/101)Scale AI · Inference infra: 46% (46/101)Scale AI · Agent platform: 46% (46/101)Scale AI · Eval & safety: 59% (60/101)Scale AI · RAG / retrieval: 17% (17/101)Scale AI · Robotics + multimodal: 19% (19/101)Scale AI · Research depth: 28% (28/101)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)Scale AI· 101 AI roles, 9 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.

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