LandingAI

Description

LandingAI is dedicated to making the world's documents computable through its Agentic Document Extraction (ADE) platform. This advanced solution empowers enterprise developers to build scalable document automation pipelines, delivering accurate, auditable, and API-driven document AI. The core value proposition lies in transforming any document into accurate, structured data that is production-ready from day one.

ADE distinguishes itself from traditional OCR and generic LLM approaches by being vision-first. It extracts structured JSON with full grounding, preserving crucial layout and structural elements like tables, forms, and headings. This results in higher accuracy, fewer brittle heuristics, and stronger governance, making it suitable for production environments. The platform offers confidence scores and audit-ready traceability, allowing users to verify parsed results with precise page numbers and coordinates for each data chunk. This ensures that results can be defended and audited, which is critical for regulated industries.

The platform provides core building blocks designed for real-world workflows, including APIs for parsing, splitting, and extracting structured data. The parsing API converts variable documents into auditable structured data, outputting Markdown with layout-aware structure, precise citations, and handling layout variability. The splitting API automatically segments multi-document files into clean, classified sub-documents, capable of handling large files and mixed document types. The extraction API allows users to define schemas for extracting specific fields, supporting complex nested structures and large tables with auditability by default.

LandingAI's solution is built for regulated, high-variance documents where accuracy, traceability, and governance are paramount. Its vision-first approach leverages proprietary models to reliably extract data from complex tables and dense layouts, with built-in feedback mechanisms for continuous improvement. The data-centric approach focuses on better, curated data and systematically feeding back failure cases to reduce errors. Agentic orchestration adapts to each document, planning, deciding, and verifying until quality thresholds are met. The platform is SOC 2 Type II Certified, GDPR & HIPAA Compliant by design, and offers flexible deployment options including cloud, on-premises, or virtual private deployment, with a zero data retention option for enhanced data privacy.

LandingAI serves a wide range of industries and use cases, including financial services, insurance, healthcare, energy & utilities, and legal. Specific applications include loan and credit underwriting, Know Your Customer (KYC) processes, regulatory reporting, and business process automation. The platform is trusted by over 50 enterprise customers, processing billions of images and documents with sub-second processing times. It enables downstream workflows such as retrieval-augmented generation (RAG), automation, reconciliation, compliance checks, reporting, approvals, and turning document archives into queryable, structured datasets.

LandingAI's Core Features

• Agentic Document Extraction (ADE) for high accuracy and traceability

• Vision-first approach for reliable data extraction from complex layouts

• Preserves document structure including tables, forms, and headings

• API-driven for seamless integration into automation pipelines

• Confidence scoring and audit-ready traceability for verified results

• Handles variable document formats and layout inconsistencies

• Automated document splitting and classification

• Schema-first extraction for defining specific data fields

• Large table extraction capabilities

• Enterprise-grade security: SOC 2 Type II Certified, GDPR & HIPAA Compliant

• Flexible deployment options: Cloud, on-premises, virtual private

• Zero data retention option for enhanced data privacy

• Enables Retrieval-Augmented Generation (RAG) workflows

• Supports downstream automation, reconciliation, and reporting

How to use LandingAI?

1. 1

   Configure: Define extraction schemas and workflow parameters via APIs or libraries.

2. 2

   Integrate: Connect LandingAI's modular REST APIs or Python/TypeScript libraries to your systems.

3. 3

   Process: Submit documents for parsing, splitting, and structured data extraction.

4. 4

   Verify: Review extracted data with confidence scores and traceability information.

5. 5

   Automate: Power downstream workflows like RAG, reconciliation, and compliance checks.

6. 6

   Optimize: Utilize feedback loops to continuously improve extraction accuracy.

LandingAI's Use Cases

• Financial Services
• Loan Processing
• Business Process Automation
• Regulatory Reporting
• Insurance Claims
• Healthcare Data
• Legal Document Analysis
• Retrieval-Augmented Generation (RAG)
• Search and Analytics

FAQ from LandingAI

• How is LandingAI's ADE different from OCR + LLM approaches?

  LandingAI's ADE is vision-first, extracting structured JSON with full grounding and preserving layout. Unlike generic LLMs that can hallucinate or miss source attribution, ADE offers higher accuracy, fewer brittle heuristics, and stronger governance for production environments.

• What document types does LandingAI support?

  LandingAI supports a wide range of document types, including complex tables, dense layouts, forms, and multi-page documents across various industries like finance, insurance, and healthcare.

• How does LandingAI ensure data privacy and security?

  LandingAI is SOC 2 Type II Certified, GDPR & HIPAA Compliant by design, and offers flexible deployment options including zero data retention, ensuring enterprise-grade security and data privacy.

• Can LandingAI handle large tables and multi-page documents?

  Yes, LandingAI's platform is designed to handle large tables with thousands of rows across many pages and can process multi-page documents efficiently.

• What are the benefits of Agentic Document Extraction (ADE)?

  ADE provides accuracy you can prove, not guess, with confidence scores and audit-ready traceability. It offers unmatched speed and scale, eliminating processing bottlenecks and handling thousands of pages per minute.

• How does LandingAI ensure accuracy on complex documents?

  LandingAI uses proprietary vision models and a data-centric approach that improves accuracy through better, curated data and systematic feedback on failure cases. Agentic orchestration adapts to each document to meet quality thresholds.

• What kind of outputs does LandingAI provide?

  LandingAI provides accurate, structured data in formats like Markdown with layout-aware structure, preserving hierarchy and including precise citations for every block (page, coordinates, table-cell grounding).

• Can I try LandingAI with my own documents?

  Yes, you can try LandingAI with your own documents. A free trial is available, and no credit card is required to start.

• What are the deployment options for LandingAI?

  LandingAI offers flexible deployment options, including cloud, on-premises, or virtual private deployment, catering to different enterprise needs and security requirements.

• How does LandingAI support downstream workflows?

  LandingAI's structured, traceable outputs power downstream workflows such as retrieval-augmented generation (RAG), automation, reconciliation, compliance checks, reporting, approvals, and turning document archives into queryable datasets.