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LandingAI launches ADE Gen2 with atomic grounding and agent-ready JSON

By PulseAugur Editorial · [1 sources] ·

LandingAI has launched the second generation of its Agentic Document Extraction (ADE Gen2) system, built upon its new DPT-3 model family. This update focuses on improving output structure, grounding, and cost-effectiveness for developers. ADE Gen2 offers atomic grounding down to the word or line level, providing precise source attribution for extracted data, which is crucial for regulated workflows. The system now returns clean, structured JSON designed for agent consumption and integrates with SDKs and async job APIs for high-volume processing. AI

IMPACT Enhances agentic workflows by providing precise, structured data extraction with verifiable sources, reducing manual review for complex document processing.

RANK_REASON This is a product update for a specific AI-powered document extraction tool, not a frontier model release or significant industry event.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LandingAI launches ADE Gen2 with atomic grounding and agent-ready JSON

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33 / 100
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Tool
This is a product update for a specific AI-powered document extraction tool, not a frontier model release or significant industry event.
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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product, model release
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · sushrut mishra ·

    LandingAI's Agentic Document Extraction, 2nd Generation: new models, agent ready output, and atomic citations

    <p>LandingAI's Agentic Document Extraction, which we call ADE, now has a second generation, and this post covers what changed for developers building on it. ADE Gen2 runs on our new DPT-3 model family, and it moves the three things that decide whether an agent can act on a docume…

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