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) xAI: 47% (44/93)35% / 47%Inference infraInference infra Scale AI: 46% (46/101) xAI: 19% (18/93)46% / 19%Agent platformAgent platform Scale AI: 46% (46/101) xAI: 14% (13/93)46% / 14%Eval & safetyEval & safety Scale AI: 59% (60/101) xAI: 29% (27/93)59% / 29%RAG / retrievalRAG / retrieval Scale AI: 17% (17/101) xAI: 2% (2/93)17% / 2%Robotics + multimodalRobotics + multimodal Scale AI: 19% (19/101) xAI: 53% (49/93)19% / 53%Research depthResearch depth Scale AI: 28% (28/101) xAI: 57% (53/93)28% / 57%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)xAI · Foundation training: 47% (44/93)xAI · Inference infra: 19% (18/93)xAI · Agent platform: 14% (13/93)xAI · Eval & safety: 29% (27/93)xAI · RAG / retrieval: 2% (2/93)xAI · Robotics + multimodal: 53% (49/93)xAI · Research depth: 57% (53/93)Scale AI· 101 AI roles, 9 regulatedxAI· 93 AI roles, 2 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