Nanonets

What it does

Nanonets provides AI tools for processing business documents and connecting the results to operational workflows. Teams supply documents such as invoices, purchase orders, claims and forms, then configure steps to extract information, apply rules and send structured data to other systems. Human review can handle uncertain cases before a result is accepted or used downstream.

The platform supports accounts payable, order handling, supplier onboarding and other document-heavy processes. Its enterprise offering also describes Trail, a context graph that links business rules to their source documents so agents can use a shared, auditable reference. This broader agent implementation should be scoped separately from a self-service extraction workflow, including the systems, review controls and business rules involved.

Nanonets suits finance and operations teams, as well as developers adding document processing through its API. A self-service account starts with a one-time credit allowance; continuing use combines a subscription with charges tied to the workflow blocks that run. Larger deployments can involve engineering assistance and private infrastructure. Review extraction results, connector permissions and exception handling before allowing a workflow to update a system of record.

What it can do

• Extracts structured data from invoices, POs, bills of lading, claims and forms in any format
• Converts SOPs and policy documents into a context graph of traceable business rules
• Runs multi-step agents that apply rules, route exceptions and post decisions to systems of record
• Escalates low-confidence cases to human reviewers and learns from corrections
• Maintains audit logs, RBAC scopes and per-run traceability

Works with

• SAP
• Netsuite
• QuickBooks
• Gmail
• Slack
• Microsoft Teams
• Zoom
• Anthropic Claude
• OpenAI ChatGPT
• Microsoft Copilot

Example workflows

Invoice accounts payable

Illustrative example. Inputs: emailed or uploaded invoices. Steps: extract fields, match to purchase orders, apply approval thresholds, route exceptions to reviewers. Output: validated entries posted to the ERP.

Insurance claim intake

Illustrative example. Inputs: first-notice-of-loss claims with policy documents and photos. Steps: check coverage and documentation requirements, apply escalation matrix, auto-adjudicate small claims. Output: decision, payable amount and rationale.

Before you choose

• The $50 introductory credit allowance is one-time, not a permanent free plan.
• Workflow cost depends on the number and type of blocks run; do not treat an example invoice cost as a universal rate.
• Confirm enterprise agent, Trail, deployment and implementation entitlements before planning a rollout.

Listed under

• Finance
• Operations
• Insurance and claims
• Payables and spend
• Procurement and ERP
• Receivables and collections
• Workflow automation
• Accounts payable
• AI agents
• Claims processing
• Data extraction
• Document processing
• ERP automation

Get started

$50 in free credits, no card required.

1. Create an account and use the introductory credits to evaluate a document workflow.
2. Upload representative documents, configure extraction and review steps, and inspect the results.
3. Connect downstream systems through supported connectors or APIs; discuss Trail and private deployment requirements separately.

A one-time $50 credit allowance is offered without a card. Starter then costs $100/month for 100 credits. Published block-run rates are $0.02 for simple blocks, $0.10 for standard AI and $0.30 for complex AI; total cost depends on the workflow. Growth and Enterprise require a quote.

Source: nanonets.com/pricing, checked 29 Oct 2026. Prices can change; check before you buy.

Sources for this overview

Product pages, documentation, and pricing checked 29 Oct 2026. Each source supports part of the overview; availability and prices can change.

• Nanonets: AI Agents for Enterprise Data Processing ↗nanonets.com
• About Us | Nanonets ↗nanonets.com
• Pricing | Nanonets ↗nanonets.com
• Nanonets Overview ↗docs.nanonets.com

Company website

nanonets.com: product, pricing and policy pages

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Human review

Checked by a person

knowledge_base

Last checked 29 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.