Document Data Extraction

Nanonets

AI-powered agents for automating complex enterprise data processing workflows.

Overview

Nanonets provides AI agents that automate document processing and complex business workflows by extracting data, applying rules, and integrating with enterprise systems without human intervention. It supports multi-format document handling, exception management, and enterprise-grade security.

Updated Oct 21, 2026

9 things

What Nanonets has

For developers

Programmatic access to the product's data and features for developers. One of 7 Document Data Extraction tools with an API.
Run the software on your own servers instead of the vendor's cloud.
A Model Context Protocol server that lets AI tools connect to and act on your data.

Hosting and storage

A dedicated cloud environment for running software and keeping its data separate.

Support

Get help from the support team by writing to them via email.
Real people you can contact when you need help with the tool. One of 9 Document Data Extraction tools with human support.
Expert services that help organizations plan, implement, or improve their work processes.

Pricing

Try the paid product for a limited time before committing to a subscription. One of 7 Document Data Extraction tools with a free trial.
A product demonstration available to prospective customers who want to evaluate the tool. One of 7 Document Data Extraction tools with public demo.

14 features

Key Features

Business process agents
Nanonets converts policies, procedures, systems, knowledge into AI agents that run your business. business processes.
Business rule execution
Edge cases undermine agent ROI. Deploy agents that accurately follow business rules, learn from every correction, and work transparently.
Context graph
Trail converts your enterprise policies, procedures, systems, and institutional knowledge into a governed graph for AI.
Rule traceability
02 Parsed into a context graph Nanonets extracts rules and parses them into a context graph. Every business rule is traceable to its source, giving AI agents a consistent, auditable source of truth across teams, systems, geographies.
Rule-based decisions
03 Review, approve, run Nanonets outlines the agent's role and tools, and then auto-builds it. Agents run in the context graph and take decisions strictly based on the encoded rules.
Agent autonomy
01 Confidence scores decide autonomy Confidence scores decide when the agent acts autonomously and when it asks a human.
Learning from feedback
02 Learning from every interaction Every human input made on an exception or approval leads to learning, and makes your agents more autonomous with time.
Agent corrections
03 Self-corrections surfaced autonomously Conflicts are rarely obvious until the right edge case exposes them. Nanonets surfaces and diagnoses undetected issues, and proposes fixes to improve agents.
Tribal knowledge capture
01 Connect your systems Nanonets connects to Slack, Zoom, Teams, email, all the places where your team's unwritten rules and precedents live, and extracts them.
Exception rules
02 Tribal rules encoded as exceptions Tribal knowledge is distilled into explicit rules and encoded into the context graph as exception nodes, so agents handle edge cases with business context.
Decision precedents
03 Past decisions encoded as precedents Every past decision is logged with its full context and cited as precedent, so similar cases in the future are decided the same way.
Agent audit trail
02 Everything remains audit-ready Agents can be hard to debug and audit. Every agent run in the context graph is traceable, auditable, explainable, and runs on RBAC scopes.
Enterprise deployment
Private deployment VPC, single-tenant cloud, or on-prem. Choose your infra and network policies.
Human review
Configure approval gates to route edge cases to Slack, Teams, or email for review.

Pros and cons

Pros

Enables automation of complex, exception-heavy business processes without human intervention.
No-code agent builder using plain English prompts simplifies workflow creation and maintenance.
Supports enterprise-grade security and compliance including private deployment and data residency.
Integrates with a wide range of ERP, CRM, and collaboration tools for seamless workflow execution.
Usage-based pricing with free trial credits allows cost-effective scaling.

Cons

Pricing complexity due to per-step block runs may require careful cost estimation.
May require initial setup and training to encode business rules and exceptions effectively.
No explicit mention of support for non-enterprise small businesses or individual users.
Limited public information on customization beyond the agent builder interface.
Relies on AI model accuracy which may require ongoing feedback and tuning for edge cases.

As of October 2026

Pricing

Paid. Plans start at $100 per month.

Starter
$100
per month
Enterprise
Custom
on request

Developer features

Agent connections
01 Connects to the agent platform you already use Point the agents your teams already run at Nanonets through an MCP server, native retrievers, or plain REST/GraphQL API. Or simply use our pre-built agents.

You?

Be the first to rate Nanonets

Your review helps others make better decisions. No account needed. Takes about 10 seconds.

Featured Video

See Nanonets at work before you try it.

Watch on YouTube

0 questions

Frequently Asked Questions

No reviews yet

Community reviews

Sort:Write a review

No written reviews yet. Be the first to share your experience.

Tried this tool? Share your experience.

Write a review

No reviews yet

Community reviews

Sort:Write a review

No written reviews yet. Be the first to share your experience.

Tried this tool? Share your experience.

Write a review

9 things

What Nanonets has

For developers

Programmatic access to the product's data and features for developers. One of 7 Document Data Extraction tools with an API.
Run the software on your own servers instead of the vendor's cloud.
A Model Context Protocol server that lets AI tools connect to and act on your data.

Hosting and storage

A dedicated cloud environment for running software and keeping its data separate.

Support

Get help from the support team by writing to them via email.
Real people you can contact when you need help with the tool. One of 9 Document Data Extraction tools with human support.
Expert services that help organizations plan, implement, or improve their work processes.

Pricing

Try the paid product for a limited time before committing to a subscription. One of 7 Document Data Extraction tools with a free trial.
A product demonstration available to prospective customers who want to evaluate the tool. One of 7 Document Data Extraction tools with public demo.

14 features

Key Features

Business process agents
Nanonets converts policies, procedures, systems, knowledge into AI agents that run your business. business processes.
Business rule execution
Edge cases undermine agent ROI. Deploy agents that accurately follow business rules, learn from every correction, and work transparently.
Context graph
Trail converts your enterprise policies, procedures, systems, and institutional knowledge into a governed graph for AI.
Rule traceability
02 Parsed into a context graph Nanonets extracts rules and parses them into a context graph. Every business rule is traceable to its source, giving AI agents a consistent, auditable source of truth across teams, systems, geographies.
Rule-based decisions
03 Review, approve, run Nanonets outlines the agent's role and tools, and then auto-builds it. Agents run in the context graph and take decisions strictly based on the encoded rules.
Agent autonomy
01 Confidence scores decide autonomy Confidence scores decide when the agent acts autonomously and when it asks a human.
Learning from feedback
02 Learning from every interaction Every human input made on an exception or approval leads to learning, and makes your agents more autonomous with time.
Agent corrections
03 Self-corrections surfaced autonomously Conflicts are rarely obvious until the right edge case exposes them. Nanonets surfaces and diagnoses undetected issues, and proposes fixes to improve agents.
Tribal knowledge capture
01 Connect your systems Nanonets connects to Slack, Zoom, Teams, email, all the places where your team's unwritten rules and precedents live, and extracts them.
Exception rules
02 Tribal rules encoded as exceptions Tribal knowledge is distilled into explicit rules and encoded into the context graph as exception nodes, so agents handle edge cases with business context.
Decision precedents
03 Past decisions encoded as precedents Every past decision is logged with its full context and cited as precedent, so similar cases in the future are decided the same way.
Agent audit trail
02 Everything remains audit-ready Agents can be hard to debug and audit. Every agent run in the context graph is traceable, auditable, explainable, and runs on RBAC scopes.
Enterprise deployment
Private deployment VPC, single-tenant cloud, or on-prem. Choose your infra and network policies.
Human review
Configure approval gates to route edge cases to Slack, Teams, or email for review.

Pros and cons

Pros

Enables automation of complex, exception-heavy business processes without human intervention.
No-code agent builder using plain English prompts simplifies workflow creation and maintenance.
Supports enterprise-grade security and compliance including private deployment and data residency.
Integrates with a wide range of ERP, CRM, and collaboration tools for seamless workflow execution.
Usage-based pricing with free trial credits allows cost-effective scaling.

Cons

Pricing complexity due to per-step block runs may require careful cost estimation.
May require initial setup and training to encode business rules and exceptions effectively.
No explicit mention of support for non-enterprise small businesses or individual users.
Limited public information on customization beyond the agent builder interface.
Relies on AI model accuracy which may require ongoing feedback and tuning for edge cases.

As of October 2026

Pricing

Paid. Plans start at $100 per month.

Starter
$100
per month
Enterprise
Custom
on request

Developer features

Agent connections
01 Connects to the agent platform you already use Point the agents your teams already run at Nanonets through an MCP server, native retrievers, or plain REST/GraphQL API. Or simply use our pre-built agents.

You?

Be the first to rate Nanonets

Your review helps others make better decisions. No account needed. Takes about 10 seconds.

Featured Video

See Nanonets at work before you try it.

Watch on YouTube

0 questions

Nanonets

Overview

What Nanonets has

For developers

Hosting and storage

Support

Pricing

Key Features

Business process agents

Business rule execution

Context graph

Rule traceability

Rule-based decisions

Agent autonomy

Learning from feedback

Agent corrections

Tribal knowledge capture

Exception rules

Decision precedents

Agent audit trail

Enterprise deployment

Human review

Pros and cons

Pros

Cons

Pricing

Nanonets pricing plans

Starter

Enterprise

Developer features

Agent connections

Be the first to rate Nanonets

Featured Video

Frequently Asked Questions

What Nanonets has

For developers

Hosting and storage

Support

Pricing

Key Features

Business process agents

Business rule execution

Context graph

Rule traceability

Rule-based decisions

Agent autonomy

Learning from feedback

Agent corrections

Tribal knowledge capture

Exception rules

Decision precedents

Agent audit trail

Enterprise deployment

Human review

Pros and cons

Pros

Cons

Pricing

Nanonets pricing plans

Starter

Enterprise

Developer features

Agent connections

Be the first to rate Nanonets

Featured Video

Frequently Asked Questions

More in Document Data Extraction

More in Document Data Extraction