What challenges did Box face before AI implementation?

Automate extraction of metadata from large volumes of unstructured documents. Accelerate search and processing time for content-heavy workflows. Improve accuracy and scalability of content classification and metadata extraction processes.

What was the impact of the AI solution?

Reduced metadata search and extraction time from hours to seconds. Increased accuracy and robustness of metadata extraction workflows. Accelerated enterprise document processing to enable faster business operations. Enhanced scalability of content processing with AI automation at the core.

Source

GCPProductionEvidence: Medium55/100

Box automates content processing with Gemini and Vertex AI

Use case typeAI platformUpdated Jun 13, 2026

Box, a content management platform, partnered with Google Cloud to automate content processing and metadata extraction from large, unstructured documents. Using Gemini and Vertex AI, Box developed AI-driven metadata extraction capabilities that reduce search and extraction times from hours to seconds with enhanced accuracy. The solution ingests diverse inputs, including digital and handwritten content, enabling efficient handling of complex document types like financial documents and contracts. Integration of Gemini AI agents ensures the extracted metadata is contextually understood to further automate workflows. Box's platform powers faster, more accurate business process automation for enterprises globally, improving operational efficiency.

Organization: Box
Industry: Tech & Comms
Location: United States

Reported outcomes

Strategic outcomes

New product / capabilityAutomated metadata extraction from unstructured documentsNew product / capabilityAdded context-aware AI agents for workflowsScale & capacityEnabled platform-wide content automationSpeed & agilityAccelerated enterprise document processing

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Box
Provider: GCP
Maturity: Production
Linked source: Google Cloud Customer Stories

Box's platform powers faster, more accurate business process automation for enterprises globally, improving operational efficiency

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

1Metadata Extraction
2Generative AI
3Document Processing

Automate extraction of metadata from large volumes of unstructured documents.
Accelerate search and processing time for content-heavy workflows.
Improve accuracy and scalability of content classification and metadata extraction processes.

Integrated Google Cloud Gemini and Vertex AI models for advanced document understanding and metadata extraction.
Developed AI agents within Box platform to comprehend context and automate metadata handling in workflows.
Leveraged generative AI to process various content types including handwritten documents.
Deployed the solution platform-wide to support large-scale content management and automation.

Technologies

Gemini Vertex AI

Reduced metadata search and extraction time from hours to seconds.
Increased accuracy and robustness of metadata extraction workflows.
Accelerated enterprise document processing to enable faster business operations.
Enhanced scalability of content processing with AI automation at the core.

Sources & evidence1

Evidence: Medium55/100Evidence strength