Box announced the launch of Box Extract, which intelligently pulls information from content and saves it as metadata, helping organizations automate workflows and accelerate decision-making by making information more easily accessible.
According to the company, a lot of organizational knowledge lives in contracts, product specifications, policy documents, charts, and other types of unstructured content. Box Extract utilizes agentic capabilities and AI models from Google, Anthropic, and OpenAI to accurately extract this information.
Box explained that legacy tools often focus only on extracting text, whereas Box Extract understands document structure and meaning. It breaks the document down into components like paragraphs, tables, and charts, and then pulls out important information from those components.
Customers will also be able to create their own Extract Agents that are tailored specifically to their business needs.
Information extracted is stored in Box as custom metadata, and it can also be exported or synced to third-party systems like Databricks or Snowflake.
Some potential use cases include financial services firms using it to extract due dates and loan terms to help with loan servicing; media and entertainment teams using it to extract details like titles, writers, or versions from production files; or insurance carriers using it to extract information from accident reports and hospital bills.
“Enterprises are sitting on a gold mine of data in their untapped content,” said Aaron Levie, co-founder and CEO of Box. “With Box Extract, that information is now unlocked and can transform how businesses analyze information and make decisions. By turning unstructured content into structured, usable data, organizations can deliver real-world impact by having their content actively work for them across their most important lines of business.”
