- Finance Teams: Automate invoice processing and accounts payable workflows for enhanced accuracy and speed.
- Operations Managers: Streamline data extraction and automate routine tasks across documents and emails.
- Business Analysts: Transform unstructured datasets into organized, actionable insights for reporting and strategy.
- Customer Service Leaders: Monitor and extract data from tickets or support emails to improve workflow efficiency.
- Compliance Officers: Ensure robust data security and meet stringent regulatory standards such as GDPR, HIPAA, and SOC 2.
How to Use Nanonets?
- Sign Up and Access Platform: Begin with a free account and explore the dashboard for workflow automation.
- Select Data Sources: Connect documents, emails, or databases from cloud or on-premise platforms.
- Configure AI Models: Use no-code builder to create custom extraction rules or leverage prebuilt templates.
- Automate and Validate: Launch automated flows, review outputs, and integrate extracted data into business processes for continuous optimization.
- No-Code Automation: Easily build custom workflows without programming knowledge.
- Learnable AI Decision Engines: Models improve accuracy and adapt with continuous user feedback.
- Wide Integration Options: Connects directly to enterprise tools like SAP, cloud storage, and email platforms.
- High Accuracy: Delivers >95% data extraction accuracy and reduces manual processing time by half.
- Compliance Focused: Adheres to strict data security protocols including GDPR, SOC 2, and HIPAA.
- Simple no-code automation for document workflows.
- Remarkable processing accuracy and speed improvements.
- Direct integration with major tools and platforms.
- Clear emphasis on robust security and compliance.
- Some advanced integrations may require technical configuration.
- Best accuracy achieved with regular model updates and feedback.
- Initial setup for custom workflows can require learning curve.
- Enterprise support and training limited to select subscription plans.
Custom
Pricing information is not directly provided.
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Editorial Note
This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
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