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 Capital One: 55% (120/219) Scale AI: 35% (35/101)55% / 35%Inference infraInference infra Capital One: 64% (141/219) Scale AI: 46% (46/101)64% / 46%Agent platformAgent platform Capital One: 33% (72/219) Scale AI: 46% (46/101)33% / 46%Eval & safetyEval & safety Capital One: 52% (113/219) Scale AI: 59% (60/101)52% / 59%RAG / retrievalRAG / retrieval Capital One: 59% (129/219) Scale AI: 17% (17/101)59% / 17%Robotics + multimodalRobotics + multimodal Capital One: 5% (11/219) Scale AI: 19% (19/101)5% / 19%Research depthResearch depth Capital One: 19% (42/219) Scale AI: 28% (28/101)19% / 28%Capital One · Foundation training: 55% (120/219)Capital One · Inference infra: 64% (141/219)Capital One · Agent platform: 33% (72/219)Capital One · Eval & safety: 52% (113/219)Capital One · RAG / retrieval: 59% (129/219)Capital One · Robotics + multimodal: 5% (11/219)Capital One · Research depth: 19% (42/219)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)Capital One· 219 AI roles, 13 regulatedScale AI· 101 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