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Most organizations run on unstructured content, but it’s the data locked within that content moves business forward. Box Extract is now generally available, delivering agentic data extraction at scale for smart process automation. Combining the latest AI models with advanced OCR capabilities, and agentic approaches that understand document structure...

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759,033 просмотров • 6 месяцев назад •via X (Twitter)

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Box has launched our plugin within Codex. Users can take any content within Box and automate workflows around it using the power of a coding agent. Here's an example of processing earnings call documents to extract structured data at scale.👇
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Box has launched our plugin within Codex. Users can take any content within Box and automate workflows around it using the power of a coding agent. Here's an example of processing earnings call documents to extract structured data at scale.👇

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2,055,009 просмотров • 3 месяцев назад

The Box MCP server is now available in the Databricks Marketplace. Data analysts and data scientists can now pull unstructured content from Box directly into their Databricks workflows through Genie. Structured vendor metrics and contract terms in one place. No platform switching. No data duplication.
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The Box MCP server is now available in the Databricks Marketplace. Data analysts and data scientists can now pull unstructured content from Box directly into their Databricks workflows through Genie. Structured vendor metrics and contract terms in one place. No platform switching. No data duplication.

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288,184 просмотров • 2 дней назад

Today at #GoogleIO, we’re demonstrating how our partnership with Google Cloud is redefining the landscape of Intelligent Content Management. Leveraging the advanced capabilities of Google’s Gemini 2.5 Pro, our new AI Agent with enhanced data extraction transforms complex, unstructured data from various sources—including scanned PDFs, images, and diverse forms—into structured, actionable insights. Check out the demo below to watch Gemini 2.5 Pro and Box AI agents in action. With the Box AI Agent powered by Gemini 2.5 Pro you can: ⭐ Automatically, and instantly, classify and organize documents ⭐ Extract accurate insights and information from documents and images ⭐ Enable workflow automation by leveraging structured and easily retrievable content Our partnership with Google is not just about enhancing current capabilities; it’s about unlocking the full potential of AI, and models like Gemini 2.5 Pro, for intricate enterprise use cases.
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Today at #GoogleIO, we’re demonstrating how our partnership with Google Cloud is redefining the landscape of Intelligent Content Management. Leveraging the advanced capabilities of Google’s Gemini 2.5 Pro, our new AI Agent with enhanced data extraction transforms complex, unstructured data from various sources—including scanned PDFs, images, and diverse forms—into structured, actionable insights. Check out the demo below to watch Gemini 2.5 Pro and Box AI agents in action. With the Box AI Agent powered by Gemini 2.5 Pro you can: ⭐ Automatically, and instantly, classify and organize documents ⭐ Extract accurate insights and information from documents and images ⭐ Enable workflow automation by leveraging structured and easily retrievable content Our partnership with Google is not just about enhancing current capabilities; it’s about unlocking the full potential of AI, and models like Gemini 2.5 Pro, for intricate enterprise use cases.

Box

10,565 просмотров • 1 год назад

Today, Box is announcing major new AI agent capabilities to let customers tap into the full value of their unstructured data. First, we’re announcing all new updates to the Box AI Studio to make it even easier to build AI agents that tap into your enterprise content for any job function, business process, or industry specific use case. We are also expanding our set of foundational agents that customers will be able to use to work with their enterprise content, including new features like search and research on unstructured data. Next, we’re announcing Box Extract to enable customers to use AI agents seamlessly for complex data extraction from any type of document or content. This makes it easier than ever to pull out data from contracts, invoices, research data, marketing assets, medical charts, and more. Finally, we’re introducing Box Automate, a new workflow automation solution within Box that lets you deploy AI agents across enterprise content-centric workflows. With Box Automate, you can design your business process in a simple drag and drop builder and then drop in AI agents at any step in the process. This ensures agents execute tasks at the right steps in a workflow every time. Best of all, our AI agents and workflow tools are designed to work across any system our customers work within, whether it’s leveraging pre-built integrations, Box APIs, or the new Box MCP Server. Ultimately, all of these capabilities come together to transform how companies can work with their enterprise content. Software has historically only been good at automating work that deals with structured data, which is why ERP, CRM, and HR systems have been mainstays of enterprise software for so long. The data in these systems fits neatly into a database, and the workflows are very ripe for automation. But it turns out most of the work in the world deals with unstructured data. It’s ideating through research documents, working with a client on contracts, reviewing details for a new product launch, looking at a patient’s healthcare record to make a diagnosis, working through due diligence documents for an M&A deal, and so on. For the first time ever, we can begin to bring all new insights and automation to this work with AI agents. At Box, we’re incredibly excited to be on this journey to help customers transform how they work with their most important data.
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Today, Box is announcing major new AI agent capabilities to let customers tap into the full value of their unstructured data. First, we’re announcing all new updates to the Box AI Studio to make it even easier to build AI agents that tap into your enterprise content for any job function, business process, or industry specific use case. We are also expanding our set of foundational agents that customers will be able to use to work with their enterprise content, including new features like search and research on unstructured data. Next, we’re announcing Box Extract to enable customers to use AI agents seamlessly for complex data extraction from any type of document or content. This makes it easier than ever to pull out data from contracts, invoices, research data, marketing assets, medical charts, and more. Finally, we’re introducing Box Automate, a new workflow automation solution within Box that lets you deploy AI agents across enterprise content-centric workflows. With Box Automate, you can design your business process in a simple drag and drop builder and then drop in AI agents at any step in the process. This ensures agents execute tasks at the right steps in a workflow every time. Best of all, our AI agents and workflow tools are designed to work across any system our customers work within, whether it’s leveraging pre-built integrations, Box APIs, or the new Box MCP Server. Ultimately, all of these capabilities come together to transform how companies can work with their enterprise content. Software has historically only been good at automating work that deals with structured data, which is why ERP, CRM, and HR systems have been mainstays of enterprise software for so long. The data in these systems fits neatly into a database, and the workflows are very ripe for automation. But it turns out most of the work in the world deals with unstructured data. It’s ideating through research documents, working with a client on contracts, reviewing details for a new product launch, looking at a patient’s healthcare record to make a diagnosis, working through due diligence documents for an M&A deal, and so on. For the first time ever, we can begin to bring all new insights and automation to this work with AI agents. At Box, we’re incredibly excited to be on this journey to help customers transform how they work with their most important data.

Aaron Levie

91,863 просмотров • 10 месяцев назад

Build agentic workflows with LangGraph and Box to automate your enterprise content processes using LangChain powerful AI framework, OpenAI's 4.1-mini model, and Pydantic's structured outputs.
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Build agentic workflows with LangGraph and Box to automate your enterprise content processes using LangChain powerful AI framework, OpenAI's 4.1-mini model, and Pydantic's structured outputs.

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108,622 просмотров • 1 год назад

As AI accelerates content creation, traditional security controls struggle to keep up. We recently released Shield Pro to GA to address this shift, using agentic AI to automatically classify unstructured content with context, detect ransomware behavior early, and streamline how security teams investigate and respond to threats. Instead of relying solely on static rules, Shield Pro embeds intelligence directly into content security workflows, helping teams protect collaboration at scale without adding friction. Read more to understand how agentic AI is reshaping content security:
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As AI accelerates content creation, traditional security controls struggle to keep up. We recently released Shield Pro to GA to address this shift, using agentic AI to automatically classify unstructured content with context, detect ransomware behavior early, and streamline how security teams investigate and respond to threats. Instead of relying solely on static rules, Shield Pro embeds intelligence directly into content security workflows, helping teams protect collaboration at scale without adding friction. Read more to understand how agentic AI is reshaping content security:

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816,255 просмотров • 5 месяцев назад

The Box MCP server is now available within Notion Custom Agents. Ground any Notion agent in your enterprise content. Automate workflows where agents search content in Box and update your notion dashboards and trackers with the latest status. Onboarding assistants. Sales enablement agents. Executive briefing agents. All powered by Box content, secured by Box permissions, and ready to act on your behalf.
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The Box MCP server is now available within Notion Custom Agents. Ground any Notion agent in your enterprise content. Automate workflows where agents search content in Box and update your notion dashboards and trackers with the latest status. Onboarding assistants. Sales enablement agents. Executive briefing agents. All powered by Box content, secured by Box permissions, and ready to act on your behalf.

Box

134,309 просмотров • 1 месяц назад

Watch how AI agents like Claude securely access and reason over your Box content via the Box MCP server. What this enables: • Search across files with full context • Extract key information instantly • Generate grounded insights • Operate within your security controls Watch and subscribe for future tips on agentic workflows →
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Watch how AI agents like Claude securely access and reason over your Box content via the Box MCP server. What this enables: • Search across files with full context • Extract key information instantly • Generate grounded insights • Operate within your security controls Watch and subscribe for future tips on agentic workflows →

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985,748 просмотров • 4 месяцев назад

We’re teaming up with Google Cloud to transform how enterprises manage content with AI 💫 🤖 Create agentic workflows with Google Agentspace & Agent2Agent protocol 🔎 Extract insights with Box AI & Google Gemini 🧠 Access the Intelligent Content Accelerator with Slalom Get started today: #GoogleCloudNext
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We’re teaming up with Google Cloud to transform how enterprises manage content with AI 💫 🤖 Create agentic workflows with Google Agentspace & Agent2Agent protocol 🔎 Extract insights with Box AI & Google Gemini 🧠 Access the Intelligent Content Accelerator with Slalom Get started today: #GoogleCloudNext

Box

1,180,929 просмотров • 1 год назад

Today, Box announced new AI Agents to work with enterprise content, powering Deep Research, Search, and enhanced Data Extraction. There’s a tremendous amount of value that’s trapped in unstructured data, from contracts to research data, that we can finally unlock with AI.
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Today, Box announced new AI Agents to work with enterprise content, powering Deep Research, Search, and enhanced Data Extraction. There’s a tremendous amount of value that’s trapped in unstructured data, from contracts to research data, that we can finally unlock with AI.

Aaron Levie

60,262 просмотров • 1 год назад

"The unsolved problem of how do you turn data into something that is valuable within your business is now playing out." Aaron Levie spoke at Axios' AI+ Summit about the relationship between agents, data and business value.
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"The unsolved problem of how do you turn data into something that is valuable within your business is now playing out." Aaron Levie spoke at Axios' AI+ Summit about the relationship between agents, data and business value.

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55,145 просмотров • 7 месяцев назад

Work doesn’t happen in structured fields alone — it lives in contracts, forms, images, and documents. Box AI Agents help teams unlock critical insights from unstructured data, automate tasks, and move faster with agentic reasoning and enterprise context. Learn more:
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Work doesn’t happen in structured fields alone — it lives in contracts, forms, images, and documents. Box AI Agents help teams unlock critical insights from unstructured data, automate tasks, and move faster with agentic reasoning and enterprise context. Learn more:

Box

1,019,156 просмотров • 3 месяцев назад

Discover how to integrate the Box MCP server into agentic workflows using Pydantic and OpenAI's GPT-4.1 mini model. Automate tasks like invoice extraction, file uploads, and document generation with minimal code and maximum efficiency.
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Discover how to integrate the Box MCP server into agentic workflows using Pydantic and OpenAI's GPT-4.1 mini model. Automate tasks like invoice extraction, file uploads, and document generation with minimal code and maximum efficiency.

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184,444 просмотров • 1 год назад

Box AI now has support for @xAI's Grok 3 in beta. Check out how to use Grok 3 in the Box AI API for advanced document processing, data extraction, and Q&A in your app.
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Box AI now has support for @xAI's Grok 3 in beta. Check out how to use Grok 3 in the Box AI API for advanced document processing, data extraction, and Q&A in your app.

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399,261 просмотров • 1 год назад

"The data that we've been working with as people now becomes extremely useful in a world of agents. You're having this rebirth of the file system." Aaron Levie on Navigators with Paul Klein IV on why unstructured data, the 90% of enterprise data that has always been the hardest to automate, is now the biggest unlock for AI agents. And why the real AI conversation is a context conversation.
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"The data that we've been working with as people now becomes extremely useful in a world of agents. You're having this rebirth of the file system." Aaron Levie on Navigators with Paul Klein IV on why unstructured data, the 90% of enterprise data that has always been the hardest to automate, is now the biggest unlock for AI agents. And why the real AI conversation is a context conversation.

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66,225 просмотров • 7 дней назад

OpenAI just dropped GPT-4.1. It’s a huge jump over GPT-4o on basically every metric, and importantly document processing and data extraction from enterprise content. Box is now offering it in beta in the Box AI Studio, and will be rolling out to everyone shortly.
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OpenAI just dropped GPT-4.1. It’s a huge jump over GPT-4o on basically every metric, and importantly document processing and data extraction from enterprise content. Box is now offering it in beta in the Box AI Studio, and will be rolling out to everyone shortly.

Aaron Levie

108,961 просмотров • 1 год назад

Most enterprise AI projects stall because no one has prepared the content, built the workflow, and kept it improving as models change. That role is essential. Box has launched Forward Deployed Engineers to fill it. Model-agnostic, content-first, and built for the way enterprise AI actually works.
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Most enterprise AI projects stall because no one has prepared the content, built the workflow, and kept it improving as models change. That role is essential. Box has launched Forward Deployed Engineers to fill it. Model-agnostic, content-first, and built for the way enterprise AI actually works.

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67,105 просмотров • 1 месяц назад

In our latest Box AI Enterprise Eval, we tested Paul Jankura’s Claude 4 Sonnet and Opus models, now integrated into Box AI, across enterprise Q&A tasks, technical workflows, and advanced coding scenarios—revealing major advancements in developer productivity and content intelligence. AI-assisted coding and development just reached a new milestone! Here's what we discovered: Claude 4 significantly improves understanding, generating, and debugging code across multiple programming languages. Developers can: ↳ Accelerate code generation ↳ Improve debugging ↳ Enhance technical documentation ↳ Build smarter AI agents 👉 Automating Financial Analysis with Code Generation: We evaluated Claude 4 by using the Box AI API to analyze ten complex 10-K financial reports. Claude 4 dynamically generated Python code to fetch file IDs from a Box folder, automating data extraction. Within two minutes, it accurately extracted key company data such as revenues, metrics, and highlights—demonstrating its potential to streamline demanding analytical tasks. 👉 Understanding Enterprise Content: Our evaluation confirms Claude 4 maintains strong performance on enterprise Q&A tasks, effectively extracting precise details from single documents and reliably synthesizing information across multiple sources. This ensures seamless integration of structured and unstructured data alongside powerful coding capabilities. 🔓 Developer-Centric Use Cases Unlocked: Organizations can leverage Claude 4 within Box AI to: ↳ Create custom engineering agents referencing technical documents stored in Box, pulling real-time data from Jira, or finding solutions on Stack Overflow. ↳ Build intelligent technical support bots capable of analyzing user-provided code snippets against internal manuals. ↳ Automate secure code reviews by evaluating repository code (stored in Box) against security policies. ↳ Efficiently migrate legacy systems by translating old codebases into modern languages or platforms. Ready to empower your developers and accelerate innovation? To explore Claude 4 Sonnet and Opus through Box AI Studio and APIs, contact us at ailabs@box.com and request early access today! Learn more:
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In our latest Box AI Enterprise Eval, we tested Paul Jankura’s Claude 4 Sonnet and Opus models, now integrated into Box AI, across enterprise Q&A tasks, technical workflows, and advanced coding scenarios—revealing major advancements in developer productivity and content intelligence. AI-assisted coding and development just reached a new milestone! Here's what we discovered: Claude 4 significantly improves understanding, generating, and debugging code across multiple programming languages. Developers can: ↳ Accelerate code generation ↳ Improve debugging ↳ Enhance technical documentation ↳ Build smarter AI agents 👉 Automating Financial Analysis with Code Generation: We evaluated Claude 4 by using the Box AI API to analyze ten complex 10-K financial reports. Claude 4 dynamically generated Python code to fetch file IDs from a Box folder, automating data extraction. Within two minutes, it accurately extracted key company data such as revenues, metrics, and highlights—demonstrating its potential to streamline demanding analytical tasks. 👉 Understanding Enterprise Content: Our evaluation confirms Claude 4 maintains strong performance on enterprise Q&A tasks, effectively extracting precise details from single documents and reliably synthesizing information across multiple sources. This ensures seamless integration of structured and unstructured data alongside powerful coding capabilities. 🔓 Developer-Centric Use Cases Unlocked: Organizations can leverage Claude 4 within Box AI to: ↳ Create custom engineering agents referencing technical documents stored in Box, pulling real-time data from Jira, or finding solutions on Stack Overflow. ↳ Build intelligent technical support bots capable of analyzing user-provided code snippets against internal manuals. ↳ Automate secure code reviews by evaluating repository code (stored in Box) against security policies. ↳ Efficiently migrate legacy systems by translating old codebases into modern languages or platforms. Ready to empower your developers and accelerate innovation? To explore Claude 4 Sonnet and Opus through Box AI Studio and APIs, contact us at [email protected] and request early access today! Learn more:

Box

285,676 просмотров • 1 год назад

Box AI uses OpenAI models to deliver smart RAG capabilities natively in a Box Hub. With the Box AI API, you can easily search a Hub, extract insights from multiple docs, generate code snippets, and get answers to complex questions—all within your custom apps ⚡️
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Box AI uses OpenAI models to deliver smart RAG capabilities natively in a Box Hub. With the Box AI API, you can easily search a Hub, extract insights from multiple docs, generate code snippets, and get answers to complex questions—all within your custom apps ⚡️

Box

223,611 просмотров • 1 год назад