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
