Nanonets

以下为收录时的原文，语言与页面不同，未做翻译。

Nanonets automatically extracts structured data from invoices, receipts, IDs, and other documents without predefined templates. It offers end‑to‑end workflows, native CRM/ERP integration, and a visual designer for rapid, no‑code deployment across finance, supply‑chain, HR, and legal operations.

官网介绍

Nanonets automates messy manual processes including accounts payable, claims processing, order management, and more, and delivers clean data to systems of record like SAP, Salesforce, and more. Trusted by 10,000+ enterprises.

官网要点

• Agentic Data Extraction
• Order Management
• SAP Integration

官方常见问题

How is Nanonets different from intelligent document processing tools?

IDP tools extract and classify data. Nanonets goes further. Agents read unstructured inputs, apply your business rules, and act in your systems of record. They handle the process, not just the extraction step.

How does Nanonets relate to intelligent process automation?

IPA combines AI with workflow automation for judgment-heavy tasks. Nanonets is purpose-built for the slice of IPA where the input is unstructured (invoices, POs, claims, contracts) and the destination is a system of record.

Is Nanonets a document automation platform?

Document automation is the first step. Process completion is the goal. Nanonets reads any document, then validates, applies rules, handles exceptions, and delivers clean data to your ERP, CRM, or TMS.

We already have an agent builder platform. Will that handle our data extraction?

General-purpose agent platforms cover broad productivity work. They were not built for processes where unstructured data is the input, business rules are specific, and errors are costly. The gaps show up in production, not in demos.

How is this different from template-based OCR tools?

Templates break the moment a format changes. Nanonets processes documents visually and handles any layout without templates. No per-format setup. No maintenance when vendors change their forms.

What happens when the agent is not sure what to do?

Human-in-the-loop review is built into every workflow. On low confidence or edge cases, the agent routes to a reviewer with full context.