Save time, cost, and personnel hours with our intelligent document processing (IDP).
Our AI-enabled data capture solution makes document processing a breeze, minimizing the need for manual data entry, exception management, and quality checks. Our solution works with unstructured or semi-structured documents to capture data with high accuracy and higher percentage of straight-through processing (STP).
Businesses get up and running faster thanks to our Template-Free approach. Loaded with pre-processing and post-processing features, along with browser-based access and an intuitive GUI, or solution delivers a compelling user experience (UX) to knowledge workers.
Template-free intelligent document processing reduces set-up time by 30% to 70% and delivers faster time-to-automation. Skip the multitudes of document templates that escalate total cost of ownership (TCO) and increase time-to-value.
Easy-to-use, with a compelling UX enabling business users and SMEs to quickly achieve document automation. Browser-based access and an intuitive GUI ensures faster intelligent document capture and processing.
Pre-built AI/ML capabilities and business rules enable automated verification and validation of data, while our AI/ML algorithms and user inputs offer continuous learning and improvements. Cognitive capabilities deliver a greater percentage of straight-through processing (STP) with a higher accuracy.
Achieve end-to-end automation by importing unstructured data from documents and its conversion to structured data using RPA (Robotic Process Automation) and IDP in combination. Our IDP solution integrates with our RPA product and other leading RPA products.
Microservices-based architecture offers greater flexibility and scalability, while the horizontally scalable solution is purpose built for cloud deployment. Use as SaaS or deploy on-premises depending on your organization’s requirements.
Our tiered pricing models provide a range of options to choose from depending on your business requirements, be it thousands or millions of documents.
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