super.AI extracts structured data from documents that defeat ordinary parsers: multi-page contracts, scanned images, hand-corrected forms, email attachments. Classification, table recognition and redaction run inside a visual workflow builder with versioning and rollback, and human review is a first-class step rather than an escape hatch.
Designing the human step in is the honest engineering choice. Document extraction is never fully accurate on real-world input, and a system that pretends otherwise pushes its errors silently downstream into an invoice or a customs declaration. Making review explicit, with audit trails at each step, is what makes it usable in regulated work.
Named customers include Visa, Saint-Gobain and Bureau Veritas, across financial services, insurance, logistics and inspection, with an encrypted credential vault behind it. It is free to start with no card but publishes no figures. Human review is a real cost, workflow builders reward investment before they pay back, and accuracy on genuinely poor scans remains limited whoever builds the model.
