LandingAI Releases Agentic Document Extraction Gen2 with DPT-3 Pro and DPT-3 Verity
LandingAI has shipped Agentic Document Extraction (ADE) Gen2, a rebuild of its document intelligence stack around a new model family called DPT-3. Gen1 treated a document as a flat list of chunks. Gen2 treats it as a tree, prices it by the characters it returns rather than by the page, and grounds every answer back to a specific line or word on the page. LandingAI team frames the release around three themes: affordability, agent ready outputs, and atomic grounding. Is it deployable? Yes. ADE
LandingAI has released a new version of its document extraction software that uses two parsing models instead of one, treating documents as hierarchical trees rather than flat lists of text chunks. The pricing model has shifted from a flat per-page rate to a combination of per-page and per-output-character charges, with one model optimized for simple digitized documents and another for complex layouts including handwriting and scanned pages. A key capability called atomic grounding allows extracted information to be traced back to specific words or lines on the original document, enabling precise redaction and verification. The software is available now through various deployment options and is designed to be compatible with AI agents that need precise, verifiable document understanding.
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Also reported by The Verge, SiliconANGLE and MarkTechPost
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