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What is Tungsten AutoStore?
Errors made by users during document processing—whether related to invoices, claims, applications, or order forms—can incur considerable costs for businesses. Implementing AutoStore can streamline your document-centric workflows to reduce expenses, improve efficiency, and promote regulatory compliance. This innovative solution facilitates quick and accurate information sharing, thereby enhancing collaboration among employees and clients in a structured manner. Furthermore, it allows you to leverage document intelligence through automated content-aware capture workflows, ensuring both security and compliance are upheld. With its capability to seamlessly integrate with more than 40 enterprise software applications and mobile devices, the system significantly increases both the volume and precision of information processed. Such a holistic strategy not only lessens the risks linked to human error but also enables organizations to thrive in an ever-evolving digital environment. Ultimately, investing in automation tools like AutoStore can transform how businesses manage their documentation, leading to greater success and sustainability.
What is Sigixtract?
SigiXtract is a comprehensive AI-powered Intelligent Document Processing platform built to help enterprises convert unstructured documents into structured business data with speed, accuracy, and consistency. The platform combines advanced artificial intelligence, machine learning, deep learning models, and template-free OCR technology to understand and process documents without relying on predefined templates. Organizations can automate the extraction of critical information from invoices, purchase orders, contracts, governance documents, financial statements, loan applications, stock statements, and other business records. Its intelligent workflow engine manages document ingestion, classification, data extraction, auditing, validation, human review, and system integration within a unified process. The platform offers specialized automation solutions for accounts payable operations, procurement workflows, compliance management, and financial document processing. Features such as line-item extraction, GST validation, QR code verification, smart three-way matching, and exception management help improve both accuracy and operational control. SigiXtract’s Document GRC AI solution assists organizations in automating document governance, risk assessment, and compliance monitoring across large document repositories. The platform integrates seamlessly with leading ERP and enterprise systems, allowing extracted data to flow directly into existing business processes. High extraction accuracy and automation capabilities help organizations reduce processing costs, improve productivity, and accelerate decision-making. Human-in-the-loop verification mechanisms provide an additional layer of quality assurance for sensitive or complex documents. By combining intelligent document understanding, enterprise integration, and workflow automation, SigiXtract enables organizations to unlock greater value from their business documents while significantly reducing manual processing effort.
Integrations Supported
Tungsten Business Connect
Tungsten Equitrac
Tungsten Output Manager
Tungsten TotalAgility
Integrations Supported
API Availability
API Availability
Pricing Information
Pricing not provided
Pricing Information
Pricing not provided
Free Trial Offered?
Supported Platforms
SaaS
Supported Platforms
SaaS
Customer Service / Support
Web-Based Support
Customer Service / Support
Standard Support
Training Options
Documentation Hub
Webinars
Training Options
Documentation Hub
Online Training
Company Facts
Organization Name
Tungsten Automation
Date Founded
1985
Company Location
United States
Company Website
www.tungstenautomation.com/products/autostore
Company Facts
Organization Name
Sigixtract
Date Founded
2018
Company Location
India
Company Website
www.sigixtract.com
Categories and Features
OCR
Not specified
Categories and Features
Intelligent Document Processing
Not specified
OCR
Not specified