Unlock your Documents


Create data repository, generate insights and improve operational efficiency with Intelligent Document Processing (IDP)

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Why IDP?

According to current research, more than 80% of enterprise data is unstructured and locked away in documents

Extracting information from documents is highly manual, repetitive, and error prone endeavor

Template and rule-based systems are brittle in nature and require all possible variations to be coded upfront

Headcount based operations to collect data from documents are costly, difficult to manage and not scalable

IDP Platform

Intelligent document processing platform from args.ai lets you ingest and extract information from documents with ease in a cost effective manner.

Empower your Workforce


Enable process owners to automate business processes without writing a single line of code.

Faster Time to Market


Avoid risk of costly AI projects, and accelerate your automation journey with pre-built machine learning extraction pipelines

One Stop Shop


Single technology solution to process unstructured, structured, and semi-structured (visually rich document) content

IDP: Key Benefits

Gain valuable insights from data, make informed decisions, and improve customer & employee satisfaction

Reduce Cycle Time


Accelerate business processes with IDP and reduce cycle time for better customer and employee experience.

Increase Productivity


Handle higher transaction volumes with available capacity or deploy skilled staff on higher value activities

Gain Competitive Edge


Convert documents into structured data, accelerate information discovery, gain insights and make better decisions

Recent Blogs


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Considerations for peparing quality data to train machine learning models in business context.


LLM Adoption Challenges

Challenges in adopting Large Language Models (LLMs) in the business context


Document Types

Ever wondered what characterizes a document as Unstructured, Sem-structured or Structured document? 

Monetize your Data

Intelligent Document Processing for Document Intake and Processing

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