Making data-led business decisions is hard
It is estimated that 80% of an organization's data is unstructured (not in a database)
Data is often stored in a variety of formats
Most actionable data is stored in a variety of unstructured documents, formats and social media platforms
So experts waste time extracting information
This data can be highly specialized so experts have to spend time manually pulling data from documents
Find and structure quality data at a large scale
Our patented AI solution, iQC, learns to find and structure quality data from any unstructured documents at a large scale through a web interface
Multi-modal data capture
Visual Information
Capture graphical data such as diagrams, images, graphics, maps, sketches
Numerical values
Capture any numerical values and dates for your own user-defined fields or attributes
Entities with Context
Capture textual entities with context using your user-defined fields and attributes
Tabular Data
Capture tabular data from PDFs and images to import these tables into databases or open them with Excel
Conclusive sentences or Paragraphs
Capture sentences or full paragraphs important to your business needs
Document and page classifier
Classify documents and document pages with your own taxonomy to index your document stores
How data-driven decisions work
Upload sample unstructured documents
Upload a small sample of files that can be a mix of PDFs, images, Microsoft Office documents or text files.
Our patented AI solution extracts user-defined attributes such as categories, text, numbers and graphical patterns, with a confidence score
No coding, just AI
iQC's intelligence can be improved via the web interface by giving feedback on the results, such as confirming/deleting detected items, or selecting new items
Extract information
at scale
iQC is then ready to extract information on a large scale which can be exported to a database or excel, or queried with APIs
Make
data-driven decisions !
The extracted data can then be analyzed to make better decisions
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