Unlocking Document Intelligence in Snowflake! Most enterprise data lives in documents: long, complex, and multimodal files that mix tables, figures, and text. Extracting usable information from them has always been difficult. In this new blog post developed with @Snowflake, we

Join us tomorrow for our weekly Agentic Document Extraction (ADE) webinar, focused on Insurance Industry Use Cases 🧾 See how ADE helps process claims, policy forms, and reports with accuracy and speed. 📅 Oct 15 | 9 AM PT Register here: 👉 https://t.co/3hd1ltJshD

Why guess when you can know?

“Can someone verify the address on this one?” It’s a question every KYC or compliance team hears daily. Utility bills are among the most common documents used as proof of address in financial verification. But they come in every possible format: scanned, cropped, or folded

Try it out:

Introducing the new Agentic Document Extraction (ADE) Python Library! The new Python library gives developers native access to ADE through a simple, lightweight interface, providing the flexibility to build and customize document workflows with unopinionated tools that adapt to

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Starting in less than an hour ⏰ Join for today’s live session on Agentic Document Extraction (ADE). This is your chance to get hands-on with the new ADE DPT-2 model we released last week, along with other recent updates. 👉 Register here: https://t.co/WYX08XhqWS

Become a Builder with Agentic Document Extraction (ADE) 🚀 We’re launching the ADE Builders Program — for teams building with documents in high-stakes industries. Get priority API access, dedicated support, flexible pricing, and dev tools to launch faster.

Most real-world documents aren’t clean. They’re scanned, skewed, or filled with tables, checkboxes, and signatures. The latest Batch issue from @DeepLearningAI explores how LandingAI’s latest DPT-2 model powers Agentic Document Extraction (ADE) to handle this with precision. 👉

This week, in The Batch, Andrew Ng introduces Landing AI's latest Agentic Document Extraction (ADE) tool, which accurately converts PDFs into LLM-ready markdown text for use in industries like healthcare, finance, and law. Plus: 🌐 OpenAI’s Stargate expands with new U.S. and

Gray Swan AI Arena sponsored by @hackthebox_eu present the Machine-in-the-Middle Challenge, a $100K competition exploring how humans & AI perform together in real offensive security scenarios.

Parsing complex tables in messy PDFs is one of the hardest problems in document intelligence. With Document Pre-trained Transformer 2 (DPT-2), powering Agentic Document Extraction (ADE), tables stay intact: cell-level accuracy, no hallucinations, faster parsing. 👉 Try out ADE

Billions of documents drive finance, healthcare, insurance, and compliance — yet messy PDFs break extraction. We've released Document Pre-trained Transformer 2 (DPT-2) powering Agentic Document Extraction that brings structure and trust. Read more:

Messy documents break most systems: invoices, no-gridline tables, embedded signatures. Document Pre-trained Transformer 2 (DPT-2), powering Agentic Document Extraction (ADE), fixes this with cell-level parsing, smarter layout detection, and more. Check Andrew’s demo below.

📢 We’ve introduced Document Pre-trained Transformer 2 (DPT-2) into Agentic Document Extraction (ADE). With improved table parsing, smarter layout detection, and recognition of visual elements like signatures and QR codes, ADE is more reliable than ever. 👉 Press release:

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🚀 Agentic Document Extraction (ADE) just got a major upgrade. We’re introducing Document Pre-trained Transformer 2 (DPT-2), bringing: • Accurate table parsing • Smarter layout detection • Expanded coverage for signatures, barcodes, QR codes 👉 Try it out here:

An electrifying Friday at the Snowflake SVAI Hub ⚡ Our team joined the Multimodal Agents Hackathon as judges, mentors and panelists, celebrating creativity, collaboration and the true spirit of the AI community. Thanks to hosts and partners. Can’t wait for the next 🚀

Landing AI is heading to @Snowflake World Tour Berlin on October 1st! 🚀 Next week, you can find us at our kiosk showcasing how Agentic Document Extraction (ADE) helps enterprises turn complex PDFs and images into structured, reliable data. If you’ll be in Berlin, make sure to

We covered this full evolution in detail in our latest blog. Document Intelligence Evolution:

That’s exactly the gap Agentic Document Extraction (ADE) was built to solve. ADE is visual AI-first, agentic, and data-centric. It preserves layout, grounds every value to the page, and delivers structured outputs enterprises can trust.

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The problems we’ve seen: • OCR flattens layouts into plain text • Rule-based systems break with minor changes • Early ML was brittle and data-hungry • LLMs hallucinate and cannot ground answers back to source

OCR digitized text but lost structure. LLMs brought reasoning but lost traceability. For decades, Intelligent Document Processing has chased one goal: extracting meaning from messy, high-stakes documents. Yet every wave left gaps. Let’s understand this in detail: 🧵👇