Intics is an innovative platform designed to extract Agentic Data from legacy documents. Well, it uses advanced AI and machine learning models to automatically extract data from structured and unstructured documents. For instance, it can withdraw data from text, images, and PDFs.  
  Moreover, it enables businesses to convert analog data into digital insights instantly, without the need for any human expertise. In short, it is built to scale, process large volumes of documents, and offer high accuracy at low cost. 
    Performance Score
 A
 Data Extraction Quality
 Excellent
 Interface
 Responsive, User-friendly
 AI Technology
    - Natural Language Processing (NLP) Models
  
   Purpose of Tool
  Designed as an efficient data extraction platform 
 Compatibility
    - Desktop Computers
  - Laptops
  - Mobile Devices
  
   Pricing
 Contact the official team
    Who is Using Intics?
  -  Healthcare organizations: Automating the extraction of medical data from various document formats. 
  -  Financial Services: Extracting information from financial reports and transaction documents. 
  -  Property Technology Companies: Converting legacy property documents into actionable data. 
  -  Businesses Managing Large Document Volumes: Improving efficiency by automating data extraction from unstructured content. 
  
     Agentic Data Extraction 
  Cognitive Data Capture 
 AI-Powered Document Categorization
  Pre-trained Visual NLP Models 
  Scalable Processing 
 Seamless Integration
    Is Intics Free?
  No! The platform does not offer a free plan. However, it gives options for live trial and Download trial, which you can use to explore its features. 
 Intics Pros And Cons
      Automates the extraction of data from unstructured documents, saving time and resources 
  Highly scalable for large volumes of documents, improving efficiency 
  High accuracy in data extraction from diverse formats, including handwritten text and PDFs 
  Reduces the need for manual intervention, lowering operational costs 
        May require initial setup and integration with existing systems 
  Limited flexibility in handling highly complex or unique document types 
  Performance may depend on the quality of the input data