LandingAI’s intelligent document understanding solution becomes a Snowflake-native app

LandingAI, a pioneer in agentic vision technologies, is unveiling Agentic Document Extraction (ADE)—an intelligent document understanding solution that transcends traditional optical character recognition (OCR) with the power of agentic AI—for the Snowflake Marketplace.

ADE innovates in the document processing space, traditionally bogged down by its high costs and manual intervention. Leveraging layout-aware parsing, visual grounding, and no-template setup, ADE prioritizes rapid deployment and dependable outcomes, without necessitating fine-tuning or model training, according to LandingAI.

"We've seen firsthand the challenges businesses face when trying to extract meaningful data from complex documents," said Dan Malony, CEO at LandingAI. "Agentic Document Extraction solves these challenges by providing a powerful, accurate, and efficient solution that unlocks valuable insights from documents. It's helping customers unlock millions of data points previously buried in forms and PDFs—at scale and with confidence."

As a Snowflake-native app, ADE extracts unstructured data from documents—including details from elements such as checkboxes, graphs, charts, and tables—where it is then structured, cleansed, and explored from within Snowflake Notebooks. With Snowflake’s text-to-embedding capabilities, the data is embedded and indexed with Cortex Search, enabling advanced AI features such as vector similarity search and retrieval-augmented generation (RAG).

Since this is all happening within the Snowflake environment, users can leverage tools such as Cortex Analyst to retrieve, reason over, and summarize content, enabling end-to-end intelligence and application workflows entirely inside Snowflake, according to LandingAI. Additionally, customers are assured that they can leverage ADE with Snowflake’s extensive adherence to compliance and transparency, delivering audit trails for the extraction of complex document structures.

Ultimately, this collaboration sees advanced document processing technology directly benefiting from Snowflake’s robust data management platform, enabling companies to extract valuable information while benefitting from comprehensive data analytics within a single, centralized environment. ADE can be installed and run directly within customers’ Snowflake accounts, greatly expediting time-to-value while reducing the presence of data silos.

"LandingAI's ADE represents a significant leap forward in document processing technology," said Unmesh Jagtap, director of product management, applications, Snowflake. "Our joint enterprise customers now have unparalleled flexibility in document data extraction and insight generation. This seamless integration aligns perfectly with Snowflake's goal of enabling organizations to unlock new value from their document repositories."

"ADE has significantly outperformed other document extractors we've used," said Declan Kelly, CEO of Eolas Medical. "It has helped us build an Agentic RAG answer engine, based on unique healthcare institutional content, to offer instant, validated support to medical professionals at the point of care."

To learn more about ADE, please visit https://landing.ai/.