Unstructured, the enterprise platform for transforming unstructured data into AI-ready structured data, today announced a collaboration with Microsoft to help enterprises accelerate adoption of genera...

Enterprise organizations can transform unstructured data into AI-ready intelligence using Unstructured’s platform integrated with Microsoft Azure services and Microsoft Marketplace.
SAN FRANCISCO: Unstructured, the enterprise platform for transforming unstructured data into AI-ready structured data, today announced a collaboration with Microsoft to help enterprises accelerate adoption of generative AI, retrieval-augmented generation (RAG), and agentic AI workflows on Microsoft Azure.
Through the collaboration, enterprises can use Unstructured’s cloud-native ETL platform to process and prepare complex enterprise data for AI workloads running on Azure. The collaboration is designed to help organizations unlock the value of the vast amounts of unstructured information trapped across documents, PDFs, presentations, emails, images, and enterprise content systems.
As enterprises move AI initiatives from experimentation to production, data preparation has become one of the largest barriers to successful deployment. Unstructured addresses this challenge by enabling organizations to parse, chunk, enrich, and prepare data from more than 64 file types for use with large language models (LLMs), AI search, copilots, and agentic workflows.
Unstructured’s platform uses native connectors to ingest data from Azure services (such as Azure Blob Storage), and prepares that data for indexing in Azure AI Search and use with Microsoft Foundry to support scalable AI applications.
Accelerating Enterprise AI Adoption on Azure
The collaboration supports enterprise customers building AI-native applications across highly regulated industries including financial services, healthcare, insurance, pharmaceuticals, and government.
Capabilities of the collaboration include:
“Enterprise AI is only as effective as the data that powers it,” said Brian Raymond, CEO of Unstructured. “Most enterprise data remains unstructured and inaccessible to AI systems. By working with Microsoft, we’re helping organizations unlock that data and accelerate the path from raw information to production-ready AI applications on Microsoft Azure.”
“As enterprises scale generative AI initiatives, preparing unstructured enterprise data for AI systems has become a critical challenge,” said Gustavo Blum, VP Partner Development and Sales, Microsoft. “Unstructured helps customers transform complex enterprise content into AI-ready data that can power RAG pipelines, copilots, and agentic workflows on Microsoft Azure.”
Helping Enterprises Operationalize AI at Scale
Unstructured has become foundational infrastructure for enterprises building AI systems that depend on high-quality enterprise data pipelines. The company’s enterprise platform and open-source community support organizations seeking to operationalize AI across internal knowledge management, compliance workflows, customer support automation, research systems, and intelligent search applications.
The collaboration also supports enterprise procurement and deployment flexibility through Azure Marketplace and private offer capabilities, helping customers align AI infrastructure investments with broader cloud modernization initiatives.
About Unstructured
Unstructured transforms complex unstructured data into clean, structured data for AI and analytics applications. The company’s enterprise platform enables organizations to ingest and preprocess data from more than 64 file types for use with large language models, retrieval-augmented generation (RAG), AI search, and agentic workflows. Trusted by 87% of the Fortune 1000 across regulated industries, Unstructured helps organizations operationalize AI securely and at scale. The company has been recognized by Forbes AI50, Fast Company’s Most Innovative Companies, and the CB Insights AI 100. Learn more at https://unstructured.io.
Fonte: Business Wire
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