Nanonets

What is Nanonets?

Nanonets is an intelligent automation platform that leverages advanced Optical Character Recognition (OCR), deep learning, and natural language processing to automate document-heavy business processes. It enables organizations to extract structured data from unstructured sources like PDFs, emails, images, and scanned documents, significantly reducing manual effort and operational costs. With a no-code workflow builder, seamless API integrations, and customizable machine learning models, Nanonets helps businesses streamline operations, improve accuracy, and scale automation across various industries such as finance, healthcare, logistics, and retail. The platform is SOC 2 and GDPR compliant, ensuring data security and privacy.

Key Features

• Advanced OCR and Data Extraction

  Accurately extracts relevant information from a wide range of documents and images, supporting multiple languages and complex layouts for high precision data capture.

• Custom Workflow Automation

  Enables users to design and automate end-to-end business workflows without coding, adapting to unique organizational needs across different industries.

• Pre-trained and Customizable AI Models

  Offers pre-built models for common use cases and allows users to train custom models, continuously improving accuracy through machine learning.

• Seamless Integrations

  Integrates easily with popular cloud storage, CRM, ERP, and business tools via robust APIs, enabling unified and automated data flow.

• Scalable and Secure Infrastructure

  Delivers enterprise-grade security (SOC 2, GDPR compliance), scalability from SMBs to large enterprises, and ensures data privacy by keeping information confidential.

Use Cases

• Invoice and Accounts Payable Automation : Automates data extraction from invoices and receipts, streamlining accounts payable and reducing processing time and errors for finance teams.
• Document Classification and Compliance : Automatically sorts and organizes unstructured documents for regulatory compliance, legal, and archival purposes.
• Healthcare Data Management : Extracts and manages patient data from medical records and forms, improving productivity and data accuracy in healthcare workflows.
• Fraud Detection and Risk Analysis : Builds models to identify fraudulent activities in financial transactions, insurance claims, or e-commerce platforms.
• Image and Object Recognition : Classifies and detects objects in images for applications in manufacturing quality control, retail inventory, and autonomous systems.

FAQs