Nanonets

Nanonets converts an organization's policies, procedures, systems, and institutional knowledge into AI agents that run business processes end to end. It uses machine learning to extract structured data from documents such as invoices, receipts, and ID documents, and uses a governed context graph (called Trail) to encode business rules that agents follow, with every rule traceable to its source. It targets finance and operations workflows including accounts payable, reconciliation, order management, cash application, supplier onboarding, and claims processing.