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What is iDox.ai Suite?

iDox.ai Suite is AI-powered redaction and data anonymization software that helps organizations identify, protect, and manage sensitive information across documents at scale. The platform is built for teams that handle privacy-sensitive, regulated, or confidential files and need a faster way to secure them before sharing or submission. iDox.ai Suite can automatically detect and redact PII, PHI, financial information, signatures, logos, confidential business details, and other regulated content. It supports PDFs, scanned documents, spreadsheets, and other file types used across legal, public sector, healthcare, life sciences, and enterprise workflows. The platform combines AI redaction, data anonymization, document comparison, and compliance reporting in one system. Legal teams can use it to prepare files for review, disclosure, litigation support, or external collaboration. Government agencies can use it to support FOIA requests, public records workflows, and secure information release. Healthcare and life sciences organizations can use it to protect patient data, prepare regulatory submissions, and reduce exposure of protected health information. Enterprises can use iDox.ai Suite to secure documents before internal sharing, vendor collaboration, public distribution, or use with AI systems. Its audit-ready reporting helps teams document redaction activity, support compliance reviews, and demonstrate control over sensitive content. iDox.ai Suite helps organizations reduce manual document review, lower privacy and compliance risk, improve data governance, and move sensitive document workflows forward more efficiently.

What is Doculayer?

Forget the tedious tasks of manual content classification and data entry, as Doculayer.ai offers a customizable workflow that encompasses a range of document processing services, including OCR, document type and topic classification, along with data extraction and masking. With its user-friendly interface, Doculayer.ai empowers business users to efficiently label documents and data, enhancing their learning and training processes. The platform employs a hybrid data extraction method, integrating machine learning models with established patterns, rules, and library scripts to achieve superior outcomes in a shorter time frame. Additionally, data masking is available to help anonymize or pseudonymize sensitive information within documents. By incorporating Doculayer.ai into your Content Services Platform and Business Process Management systems, you can significantly enhance document intelligence. Furthermore, this innovative solution enables your existing IT infrastructure to be supplemented with advanced technologies such as machine learning, natural language processing, and computer vision, all aimed at streamlining document processing. Ultimately, adopting Doculayer.ai can transform the way organizations manage their documents and data workflows.

Media

Media

Integrations Supported

Amazon S3
Dropbox
Google Drive
Microsoft Exchange
Microsoft OneDrive
Microsoft SharePoint
NetDocuments
iDox.ai Guardrail

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

$10/month
Free Version

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
24 Hour Support
Web-Based Support

Training Options

Online Training

Training Options

Documentation Hub
Webinars
On-Site Training

Company Facts

Organization Name

iDox.ai

Date Founded

2024

Company Location

United States

Company Website

www.idox.ai/

Company Facts

Organization Name

Doculayer

Date Founded

2007

Company Location

Netherlands

Company Website

www.doculayer.com/doculayer-platform

Categories and Features

AI Governance

Not specified

AI Redaction

Not specified

Data Anonymization

Not specified

Data Governance

Not specified

Data Masking

Not specified

PDF Redaction

Not specified

Categories and Features

Data Anonymization

Not specified

Data Extraction

Not specified

Data Masking

Not specified

OCR

Not specified

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