Case Study: DryvIQ achieves faster development and expanded data classification with Hyland Document Filters

Unstructured data management company shortens development cycle while expanding data classification capabilities with Document Filters

DryvIQ, an unstructured data management company, needed to shorten its development cycle, go to market faster, and expand data classification capabilities while maintaining a strong customer experience. To address these goals, DryvIQ turned to Hyland and its Document Filters product for a solution that could integrate easily with its existing platform.

Hyland implemented Document Filters with a developer-friendly native .NET API, enabling a headache-free integration and faster file inspection across 600 supported file types. The result was improved performance and scalability, with DryvIQ reporting quicker processing, broader document detection, and no bottleneck as file volumes grow, helping the company compete for and win more RFPs.

DryvIQ

Shaun Becker

Chief Architect