Best for: Manufacturers in automotive, electronics, consumer goods, packaging, pharmaceuticals, and semiconductors that need AI-powered visual inspection at production line speed — where defect variability exceeds what rule-based vision systems can reliably detect and where consistent inspection must scale across multiple production sites.

Best for: Manufacturers, automotive, electronics, and pharma/medical-device makers that want their own quality and domain experts — not a data-science team — to build, train and deploy deep-learning visual inspection (defect detection) models that work on small datasets. Also document-heavy operations in finance, insurance, healthcare and legal needing agentic extraction of structured data from complex documents.