Case Study: Docxonomy cuts computing costs by 20% and scales AI-powered file search with Google Cloud Platform

Docxonomy Discovering smarter file searches

Docxonomy provides AI-driven file search, upload, and management across cloud and on‑premises storage, but needed a more powerful, scalable backend to run its deep‑learning search tools, integrate ML/NLP analysis (e.g., text in images and speech), support terabyte-to-petabyte clients, and simplify GDPR compliance and routine platform management.

By migrating to Google Cloud—leveraging GKE and App Engine for scalable processing, Cloud Vision and Cloud Natural Language for automated indexing, Cloud Storage for large datasets, and G Suite/security tools for compliance—Docxonomy automated operations, boosted employee productivity, cut computing costs by 20%, reduced overall operating costs, and saved nearly $5 million in hardware expenses.

Docxonomy

Bryan Reynolds

CEO