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 Adobe: 31% (86/280) NVIDIA: 21% (109/530)31% / 21%Inference infraInference infra Adobe: 52% (146/280) NVIDIA: 79% (420/530)52% / 79%Agent platformAgent platform Adobe: 54% (151/280) NVIDIA: 32% (170/530)54% / 32%Eval & safetyEval & safety Adobe: 41% (116/280) NVIDIA: 27% (141/530)41% / 27%RAG / retrievalRAG / retrieval Adobe: 30% (83/280) NVIDIA: 12% (64/530)30% / 12%Robotics + multimodalRobotics + multimodal Adobe: 32% (89/280) NVIDIA: 25% (134/530)32% / 25%Research depthResearch depth Adobe: 10% (28/280) NVIDIA: 12% (64/530)10% / 12%Adobe · Foundation training: 31% (86/280)Adobe · Inference infra: 52% (146/280)Adobe · Agent platform: 54% (151/280)Adobe · Eval & safety: 41% (116/280)Adobe · RAG / retrieval: 30% (83/280)Adobe · Robotics + multimodal: 32% (89/280)Adobe · Research depth: 10% (28/280)NVIDIA · Foundation training: 21% (109/530)NVIDIA · Inference infra: 79% (420/530)NVIDIA · Agent platform: 32% (170/530)NVIDIA · Eval & safety: 27% (141/530)NVIDIA · RAG / retrieval: 12% (64/530)NVIDIA · Robotics + multimodal: 25% (134/530)NVIDIA · Research depth: 12% (64/530)Adobe· 280 AI roles, 1 regulatedNVIDIA· 530 AI roles, 8 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