Agentic Document Extraction
Vision-first document AI for accurate, auditable enterprise extraction
What it does
Agentic Document Extraction (ADE) by LandingAI converts complex, variable documents into structured, auditable data. It uses proprietary vision models to parse tables, forms, and multi-page documents, outputting JSON with precise citations (page numbers, coordinates). The API offers three core building blocks: Parse (layout-aware Markdown with text, tables, figures), Split (segment multi-document files by type or identifier), and Extract (schema-first field extraction with bounding-box citations). ADE is designed for production, with confidence scoring and traceability built in.
Who it is for
ADE targets enterprise developers and teams in regulated industries—financial services, insurance, healthcare, energy, legal, and logistics. Use cases include loan underwriting, KYC, regulatory reporting, claims processing, compliance review, and RAG pipelines. The product is built for high-variance documents where accuracy and auditability are critical.
Why it matters
Traditional OCR+LLM approaches often hallucinate or lack source attribution. ADE is vision-first, preserving layout and structure, and provides confidence scores and page-level citations for every extracted value. This enables downstream automation (reconciliation, compliance checks) without manual review. The system processes thousands of pages per minute, with sub-2-second response times claimed. Over 1 billion images and documents have been processed by LandingAI, and the product is SOC 2 Type II certified, GDPR and HIPAA compliant, with flexible deployment (cloud, on-premises, virtual private).
Launch signal
LandingAI was founded by Andrew Ng, a prominent AI leader. The company has over 50 enterprise customers and multiple public case studies (e.g., Autyn, TCG Process, GreenLite, Eolas Medical). The product is actively marketed with a free trial and contact-based enterprise sales. The website emphasizes production readiness and trust, with testimonials from Fortune 100 financial services and other regulated entities.
Brand and naming
The name "Agentic Document Extraction" reflects the product's autonomous, adaptive approach—"agentic" implies planning, deciding, and verifying until quality thresholds are met. The branding focuses on accuracy, auditability, and speed, positioning ADE as a reliable foundation for enterprise document automation. The tagline "Make the world's documents computable" underscores the mission to unlock structured data from unstructured documents.
Founder
Andrew Ng
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