DirectoryAI & ML PlatformsComputer Vision & NLPLanding AI

Landing AI

Funded

AI-powered document extraction and computer vision APIs for enterprises

Visit Website

About Landing AI

Landing AI offers an advanced Agentic Document Extraction platform designed to convert complex, real-world documents into accurate, structured data with full auditability and traceability. The platform supports dense tables, multi-page layouts, and various visual structures, enabling enterprises to automate document processing with minimal human intervention. Its modular APIs facilitate parsing, splitting, and extracting data from diverse document formats, making it suitable for industries with high document variability and compliance requirements.

Targeted at large enterprises across financial services, insurance, healthcare, energy, legal, and logistics sectors, Landing AI’s solution enhances operational efficiency by reducing manual review and enabling reliable downstream workflows. The platform’s schema-first extraction and confidence scoring provide transparency and governance, critical for regulated industries. Integration capabilities via REST APIs and Python/TypeScript libraries allow seamless embedding into existing enterprise systems, supporting use cases such as regulatory reporting, claims processing, clinical research, and contract review.

Key Capabilities

  • Agentic document extraction with audit-ready traceability
  • Parsing and splitting complex multi-page documents
  • Schema-first field extraction including large tables
  • Confidence scoring for review prioritization
  • Modular REST APIs with Python and TypeScript SDKs

Integrations

REST APIsPython SDKTypeScript SDK

Related Buyer Guides

Independent evaluation frameworks for this category.

AI Agent & Agentic AI Platforms
Compare LangGraph, CrewAI, Microsoft Agent Framework, OpenAI Agents SDK, Google ADK, AWS Bedrock AgentCore, LlamaIndex, and Temporal — where production operability, not the slickest multi-agent demo, is the deciding criterion.
AI Governance & Responsible AI
Evaluate IBM watsonx.governance, Credo AI, Microsoft Purview, ServiceNow, Holistic AI, Fiddler, Arthur, and Monitaur — and decide first whether your gap is governance and compliance or ML observability, because the EU AI Act and NIST AI RMF reward the platform wired into how models are built and run.
Computer Vision & Visual AI
Evaluate Google Vision/Vertex AI, AWS Rekognition, Azure AI Vision, Landing AI, Roboflow, Cognex, Encord, and Ultralytics — with the pretrained-API vs. custom-model and cloud vs. edge decisions, not a generic feature list, as the deciding criteria.

This profile was compiled by CIOPages from public sources with AI assistance, and may be incomplete or out of date. It is informational only and not an endorsement. Represent this vendor? or .

Quick Facts

landing.ai
CategoryAI & ML Platforms
SubcategoryComputer Vision & NLP
PricingSubscription
DeploymentSaaS
Target SizeEnterprise