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Introducing Field Extraction: Automate Data Extraction at Scale
Eolas Medical Enhances Clinical Knowledge Access with Agentic Document Extraction
Agentic Document Extraction: Live Demo & the Steps You Need to Get Started
Auto-Fill Job Applications with Agentic Document Extraction
Introducing Field Extraction: Automate Data Extraction at Scale
Over the past four months, LandingAI’s Agentic Document Extraction tool has seen rapid adoption across industries. Motivated by this momentum, our team has been hard at work expanding the tool’s capabilities. We’re excited to introduce a major new feature: Field Extraction. What Is Field Extraction? Field Extraction enables you to extract structured data directly from […]
Eolas Medical Enhances Clinical Knowledge Access with Agentic Document Extraction
About the Customer Eolas Medical is a leading healthcare technology company dedicated to streamlining access to medical knowledge right at the point of care. Founded by Dr. Declan Kelly, an emergency medicine physician by background, Eolas translates to “knowledge” or “information” in Irish, reflecting the company’s mission to empower clinicians with rapid, reliable access to […]
Agentic Document Extraction: Live Demo & the Steps You Need to Get Started
In this webinar, learn about Agentic Document Extraction (ADE), an agentic vision technology that revolutionizes how you extract and process structured data from complex documents. Designed for developers, this webinar demonstrates how ADE leverages layout-aware parsing, visual grounding, and agentic workflows to deliver high-accuracy extraction—without the need for manual template configuration or model fine-tuning. What […]
Auto-Fill Job Applications with Agentic Document Extraction
I’m sure—like myself and millions of others—you’ve spent hours copying and pasting the same information into job applications 🥱🎯. In this tutorial, we’ll walk through how you can build a powerful automation tool that extracts key data from your resume and fills out LinkedIn job applications for you—automatically! Thanks to LLMs, “developer” is now a […]
Agenda Introduction Public companies in the United States must file an annual Form 10‑K with the U.S. Securities and Exchange Commission (SEC). The 10‑K is a comprehensive financial report that includes a company’s history, organizational structure, financial statements, earnings per share and other disclosures[1]. These filings provide investors with a detailed snapshot of a company’s operations […]
Clinicians face persistent challenges in retrieving critical information from complex medical documents, impacting care quality and efficiency. In this technical case study, learn how Eolas Medical partnered with LandingAI to transform clinical knowledge access using Agentic Document Extraction (ADE). Key Topics Challenges in Clinical Knowledge Access: Solution Overview Results & Impact Watch for a deep […]
In this webinar, learn about Agentic Document Extraction (ADE), an agentic vision technology that revolutionizes how you extract and process structured data from complex documents. Designed for developers, this webinar demonstrates how ADE leverages layout-aware parsing, visual grounding, and agentic workflows to deliver high-accuracy extraction—without the need for manual template configuration or model fine-tuning. What […]
Watch me as I walk through a real‑world workflow that turns five wildly different continuing medical education (CME) certificates into a tidy Excel table (or database‑ready file) in minutes—all powered by Landing AI’s Agentic Document Extraction (ADE). Code available at https://github.com/landing-ai/ade-helper-scripts/tree/main/Use_Cases/Continuing_Education_Certificates What you’ll see in this demo 🔍 Visual Playground tour – drag‑and‑drop inspection of Markdown […]
Visual AI is instrumental in a wide variety of use cases, but only if storage can keep up. See how Pure Storage + LandingAI can provide the fastest time to train and time to value.
Over the past four months, LandingAI’s Agentic Document Extraction tool has seen rapid adoption across industries. Motivated by this momentum, our team has been hard at work expanding the tool’s capabilities. We’re excited to introduce a major new feature: Field Extraction. What Is Field Extraction? Field Extraction enables you to extract structured data directly from […]
About the Customer Eolas Medical is a leading healthcare technology company dedicated to streamlining access to medical knowledge right at the point of care. Founded by Dr. Declan Kelly, an emergency medicine physician by background, Eolas translates to “knowledge” or “information” in Irish, reflecting the company’s mission to empower clinicians with rapid, reliable access to […]
We are excited to announce our new field extraction capability in Agentic Document Extraction! What Is Field Extraction? Field extraction enables you to directly extract structured data from documents. For example, if you have a huge set of invoices you can extract the date, vendor name, and items listed in every invoice. This reduces repetitive […]
Healthcare AI Breakthrough! Eolas Medical is revolutionizing medical document management with Agentic Document Extraction from LandingAI: • Processing 100,000+ clinical guidelines • Supporting 1.2M+ monthly queries from healthcare pros • Powering a QA chatbot with traceable, reliable answers “Agentic Document Extraction has significantly outperformed other document extractors,” says Declan Kelly, CEO of Eolas Medical. “It’s […]
With amazing AI building blocks such as large models as well as AI-assisted coding, it is now possible to build prototypes and applications faster than ever before. In this Summit 2025 Luminary Talk, Andrew Ng, Founder and Executive Chairman of LandingAI, shares his thoughts on some of the building blocks that are newly available. He […]
Snowflake Summit 2025 concluded on June 5, but the discussions and innovations are just getting started. Here’s an overview of the major updates and sessions relevant to building with agentic APIs and Visual AI. If you missed us or want to schedule a follow up free consultation with experts to dive into your specific use […]
SAN FRANCISCO, JUNE 3, 2025 — LandingAI today announced at Snowflake’s annual user conference, Snowflake Summit 2025, that it has been named the 2025 Startup Program Data Cloud Product Partner of the Year award winner by Snowflake, the AI Data Cloud company. LandingAI has been honored for its outstanding contributions to the Snowflake AI Data […]
Joint customers can now extract deeper insights from complex forms and reports with the Visual AI platform, integrated with Snowflake for seamless, secure, and scalable processing. SAN FRANCISCO – June 3, 2025 — LandingAI, a pioneer in agentic vision technologies, today announced at Snowflake’s annual user conference, Snowflake Summit 2025, the launch of Agentic Document […]
Healthcare AI Breakthrough! Eolas Medical is revolutionizing medical document management with Agentic Document Extraction from LandingAI: • Processing 100,000+ clinical guidelines • Supporting 1.2M+ monthly queries from healthcare pros • Powering a QA chatbot with traceable, reliable answers “Agentic Document Extraction has significantly outperformed other document extractors,” says Declan Kelly, CEO of Eolas Medical. “It’s […]
I’m sure—like myself and millions of others—you’ve spent hours copying and pasting the same information into job applications 🥱🎯. In this tutorial, we’ll walk through how you can build a powerful automation tool that extracts key data from your resume and fills out LinkedIn job applications for you—automatically! Thanks to LLMs, “developer” is now a […]
Agentic Document Extraction just got faster! We’ve improved the median document processing from 135 seconds to 8 seconds! Agentic Document Extraction sees documents visually and uses an iterative workflow to accurately extract text, figures, form fields, charts, and more to create an LLM-ready output. You can use our SDK to parse complex documents and get […]
Are you curious about how to turn a live camera feed into actionable insights in real time without writing a ton of code or setting up a complex infrastructure? In this hands-on demo, Andrea Kropp, Machine Learning Engineer at LandingAI, walks through the process of using Snowflake and LandingLens, a Snowflake Native vision AI app, […]
Organizations have invested significantly in CCTV and fixed-camera infrastructure, traditionally used primarily for security and passive monitoring.
In this recorded webinar, we walk through how to use Snowflake and LandingLens, a native vision AI app, to connect to a YouTube livestream, detect vehicles like passenger cars, trucks, and school buses, and visualize the data in a real-time dashboard built with Streamlit. You’ll learn how to:
LandingAI delivers enterprise-grade Visual AI capabilities that enable the automotive industry to extract intelligence from images, videos, and documents through the Snowflake AI Data Cloud for Manufacturing. PALO ALTO, Calif., – May 6, 2025 – LandingAI, a leader in Visual AI software for the enterprise, today announced it has partnered with Snowflake to support the […]
Watch this hands-on webinar showcasing the latest enhancements in LandingLens, including the powerful new anomaly detection capabilities. This session is designed for both MLEs and quality control team members looking to streamline AI training and deployment for visual inspection applications. During this webinar, our Customer Success Engineer walks you through the step-by-step process of training […]
Overview: What You’ll Learn Complete code for the tutorial is available on GitHub — follow along and run the example app yourself👨🏼💻. Figure 1: A simple “Chat with PDF” app. The user has uploaded a PDF and the Agentic Document Extraction Python library has precomputed structured data for each page. Figure 2: The app’s response […]
Use LandingLens to develop Anomaly Detection models! The ability to create Anomaly Detection models enables your organization to detect visual deviations and irregularities—with few image of defects upfront. Whether monitoring quality on a production line, identifying out-of-place items in a warehouse, or flagging visual inconsistencies in your digital workflows, Anomaly Detection helps uncover what doesn’t […]
Use the Agentic Object Detection Playground to test an idea. Then use the API to turn that idea into an app in minutes. Here we show how to create an app that extracts video frames and detects the Easter eggs in each frame. Learn more and try it yourself for free:https://landing.ai/agentic-object-detection In this fun and […]
Introduction Modern Large Language Models (LLMs) have revolutionized text analysis—until they encounter the complexities of PDFs. PDFs often feature intricate layouts, visual elements, flowcharts, images, and tables with interdependent contexts and relationships. This is where Agentic Document Extraction truly stands out. In Part 1, we demonstrated examples where traditional LLMs struggled, while Agentic Document Extraction […]
Vision Language Models (VLMs) such as GPT-4o and Claude-3.5 have done well and continue to improve at textual tasks but they still struggle with visual tasks. For example, let’s ask these VLMs to count the number of missing soda cans in this image: The Soda Can Puzzle Failure Claude-3.5 (tested on 1/1/2025): “Looking at the […]
Introduction If you’ve ever tried to extract meaningful data from PDFs—especially documents with complex layouts like tables, charts, or forms—you’ve likely run into OCR’s limitations. OCR is great for raw text, but it ignores structural relationships critical for true comprehension. Enter Agentic Document Extraction: Instead of flattening everything into text, it retains visual and spatial […]
Join this fireside chat with Andrew Ng (LandingAI) and Jay Persaud (EY) to discuss how Visual AI and Agentic applications are revolutionizing business operations and decision-making. We’ll explore how these advanced AI techniques are outpacing traditional approaches, offering unprecedented efficiency and insights. The conversation will highlight practical applications across industries, demonstrating how businesses can leverage […]
The success of a deep learning model for vision tasks starts with the right dataset. In this video, we explore how to curate an optimal, high-quality dataset that aligns with your specific machine learning task.
Discover how LandingLens' Vision Model significantly improved retinopathy classification in a benchmarking study using an open-access fundus image dataset. Achieving an impressive 92.1% F1 score, this result demonstrates the power of LandingLens in advancing AI models for medical applications with minimal setup and just 2 hours of work.