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Meibel, a leading AI orchestration platform, announced the release of Document Intelligence, a foundational data layer that transforms complex enterprise documents into structured knowledge ready for agents and workflows.
Most platforms treat documents as flat text. They run OCR, pull strings, and lose the structure that makes documents meaningful. Document Intelligence understands layout, reading order, table structure, and mixed content, including handwriting and charts. Every extracted value traces back to a specific region on a specific page. The system extracts citations and cross-references across an entire corpus, building a reference graph so agents retrieve not just relevant content but every document it connects to. And because a single PDF can produce both text for semantic search and tables for precise SQL queries, one agent reasoning step can combine both retrieval modes with relationship traversal. That is not possible on a platform that only does text extraction.
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Every extraction is scored across coherence, completeness, correctness, faithfulness, relevance, and OCR confidence. When scores are high, automation proceeds. When scores are low, the system escalates to a human reviewer.
“Generic tools flatten the most valuable information in an enterprise into a wall of text,” said Kevin McGrath, Co-Founder and CEO of Meibel. “Document Intelligence changes that. Our customers are already using it to automate work that was stuck in manual and build processes they could not trust to any tool before now.”
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Document Intelligence is purpose-built for industries where accuracy carries operational and legal consequences:
Meibel supports SaaS, customer-managed cloud (BYOC), and on-premises deployment with data residency controls for regulated industries.
The post Meibel Launches Document Intelligence: The Grounding Layer That Turns Complex Enterprise Documents Into Trusted, Structured Knowledge first appeared on PressReleaseCC.
Meibel Launches Document Intelligence: The Grounding Layer That Turns Complex Enterprise Documents Into Trusted, Structured Knowledge first appeared on Web and IT News.
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