Box Unveils AI-Powered Box Extract to Transform Content into Actionable Data

Advanced Intelligence for Unstructured Content

Box has officially launched Box Extract, an enterprise grade AI solution designed to transform unstructured content into structured, actionable metadata. Released in early 2026, the tool moves beyond traditional recognition systems by utilizing agentic AI to interpret documents, images, and videos. This shift allows businesses to unlock intelligence previously trapped in static files, often referred to as dark data. The platform leverages a suite of cutting-edge models including Google Gemini 3, Anthropic Claude Opus 4.5, and OpenAI GPT 5.2. Unlike legacy systems that rely on rigid patterns, these agents understand language, context, and intent to perform complex reasoning. This enables specific tasks such as determining the risk level of a legal contract or evaluating the family-friendliness of a script.

High-Quality Data at Enterprise Scale

Box has introduced two tiers of service to balance performance and operational costs for different enterprise needs. The Standard Extract Agent is optimized for high volume files under 50 pages, while the Enhanced version handles dense documents requiring extensive field extraction. Companies can now achieve higher data quality at scale without increasing manual review time. Learn more about extraction agents One of the most powerful features involves folder based triggers that initiate extraction as soon as content is uploaded. Invoices or claims landing in intake folders can feed directly into downstream applications like Salesforce or Databricks. This creates an end-to-end automated pipeline that streamlines decision making across the organization. Explore Box Extract capabilities

Industry-Specific Results and Automation

Industry applications range from loan origination in financial services to permit processing in the public sector. Media companies are applying the tool to production files and creative assets to extract details like writers, rights holders, and scene keywords. These capabilities help teams find the right information at the right time while maintaining enterprise grade security. Customer success stories highlight the immediate impact of the technology on operational efficiency. Valmark Financial Group reported increasing their annual data extraction from 4,000 to over 240,000 data points by unlocking hidden policy information. Meanwhile, NOVO Construction achieved a remarkable 98 percent accuracy rate in their document processing workflows. View customer success stories