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) OpenAI: 27% (62/230)55% / 27%Inference infraInference infra Capital One: 64% (141/219) OpenAI: 48% (111/230)64% / 48%Agent platformAgent platform Capital One: 33% (72/219) OpenAI: 37% (84/230)33% / 37%Eval & safetyEval & safety Capital One: 52% (113/219) OpenAI: 58% (133/230)52% / 58%RAG / retrievalRAG / retrieval Capital One: 59% (129/219) OpenAI: 13% (30/230)59% / 13%Robotics + multimodalRobotics + multimodal Capital One: 5% (11/219) OpenAI: 7% (17/230)5% / 7%Research depthResearch depth Capital One: 19% (42/219) OpenAI: 14% (32/230)19% / 14%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)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)Capital One· 219 AI roles, 13 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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