Apryse PDF SDK
Apryse (formerly PDFTron) transforms how organizations manage documents.
Built for both server and web applications, Apryse empowers businesses and developers to securely handle the entire document lifecycle — from creation and collaboration to compliance and archiving — without relying on third‑party services.
With Apryse, you can:
Run at enterprise scale on your own infrastructure, ensuring privacy, compliance, and maximum control.
Deliver modern, in‑browser document experiences with fast, accessible viewing, editing, and collaboration tools.
Integrate seamlessly across platforms, supporting PDF, Microsoft Office, CAD, and many other file types.
Streamline workflows and reduce costs with technology trusted by leading enterprises worldwide.
Apryse makes document workflows smarter, faster, and more secure — so teams can focus less on manual processes and more on meaningful work.
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Square 9
Square 9's advanced AI-driven platform revolutionizes information management by eliminating the need for paper, streamlining tasks with automated digital workflows that enhance productivity. It simplifies operations by capturing data from scanned documents or PDFs, organizing files in an easily searchable database, and creating digital replicas of existing processes using visual workflow designs. This innovative approach not only saves time but also increases efficiency in everyday tasks.
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Parascript
Parascript software streamlines the processing of mortgage and loan documents, enhancing both speed and precision while also automating tasks related to insurance documents, facilitating the intake and analysis of healthcare insurance information. This automation of document processing significantly boosts efficiency, improves data accuracy, and lowers operational costs. Driven by advanced data science and machine learning, Parascript adapts and optimizes itself for a variety of document-centric tasks, including classification, separation, and data entry for financial transactions. Furthermore, this innovative software handles an impressive volume, processing over 100 billion documents annually across sectors such as banking, government, and insurance. Its capabilities not only transform workflows but also redefine how organizations manage large-scale document operations.
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IRI FieldShield
IRI FieldShield® offers an effective and cost-efficient solution for the discovery and de-identification of sensitive data, such as PII, PHI, and PAN, across both structured and semi-structured data sources. With its user-friendly interface built on an Eclipse-based design platform, FieldShield allows users to perform classification, profiling, scanning, and static masking of data at rest. Additionally, the FieldShield SDK or a proxy-based application can be utilized for dynamic data masking, ensuring the security of data in motion.
Typically, the process for masking relational databases and various flat file formats, including CSV, Excel, LDIF, and COBOL, involves a centralized classification system that enables global searches and automated masking techniques. This is achieved through methods like encryption, pseudonymization, and redaction, all designed to maintain realism and referential integrity in both production and testing environments.
FieldShield can be employed to create sanitized test data, mitigate the impact of data breaches, or ensure compliance with regulations such as GDPR, HIPAA, PCI, PDPA, and PCI-DSS, among others. Users can perform audits through both machine-readable and human-readable search reports, job logs, and re-identification risk assessments. Furthermore, it offers the flexibility to mask data during the mapping process, and its capabilities can also be integrated into various IRI Voracity ETL functions, including federation, migration, replication, subsetting, and analytical operations. For database clones, FieldShield can be executed in conjunction with platforms like Windocks, Actifio, or Commvault, and it can even be triggered from CI/CD pipelines and applications, ensuring versatility in data management practices.
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