Landing AI

LandingAI applied agent-centered design to rebuild Agentic Document Extraction as API-first infrastructure for AI agents.

LandingAI's core concepts guide explains Agentic Document Extraction pricing, including credits, service tiers, and factors that affect cost.

Agentic Document Extraction detects, labels, and locates signatures, stamps, and seals in scanned documents.

Confidence scores route extractions to review. Visual grounding points reviewers to the source. Why regulated workflows need both, and how ADE returns both.

LandingAI lists open roles and describes its work turning models into real-world products.

In‑depth comparison of LandingAI ADE and Amazon Textract for structured document extraction. Covers core capabilities, output formats, deployment models, typical use cases, selection considerations based on official product documentation and feature descriptions.

LandingAI ADE and Azure Document Intelligence differ in extraction model approach, ZDR configuration, and ecosystem fit. This page compares both for document pipeline decisions.

An in-depth comparison of LandingAI ADE and Gemini for document processing. Explains structured document parsing, extraction accuracy, cost predictability, and why teams separate extraction from generation in production AI systems.

How LandingAI Agentic Document Extraction differs from template-based IDP systems like ABBYY FlexiCapture, why they solve different document problems, and how to choose based on document type and downstream use.

Andrew Ng founded LandingAI in 2017 and serves as Executive Chairman and Founder, where he leads the technical direction for Agentic Document Extraction, the company's API platform for turning business documents into structured data.

Dan Maloney serves as Chief Executive Officer of LandingAI, where he leads product strategy, commercial growth, and sales motion across Agentic Document Extraction and the broader visual AI portfolio.

The team behind LandingAI, building the APIs that convert documents into data.

LandingAI describes its mission, leadership team, and work in agentic document AI.

The page provides contact information for sales, support, partnerships, and questions about Agentic Document Extraction and LandingAI's APIs.

LandingAI is on a mission to make the world's documents computable. Agentic Document Extraction helps enterprise developers build document automation pipelines at scale. Accurate, auditable, API-driven document AI.

The LandingAI Privacy Policy explains how the company collects, uses, stores, and protects personal information across its products and services.

The LandingAI Terms of Service govern access to and use of its website, products, and services.

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