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Landing AI (Snowflake)

Landing AI (Snowflake)

Overview

LandingAI is a visual AI company founded by Andrew Ng (now Executive Chairman). Its flagship offering today is Agentic Document Extraction (ADE), which turns complex documents such as invoices, forms, and reports into structured data, while LandingLens for visual inspection is now a secondary product.

Key Features

Agentic Document Extraction (ADE)

Zero-shot, template-free parsing of PDFs and images that understands tables, charts, and layout and returns structured JSON. Visual grounding links every extracted value back to its coordinates in the source document, so you can trace where a number came from.

Agentic APIs

Modular APIs by task:

  • Parse — structure the whole document
  • Extract — pull fields against a schema
  • Build Schema — generate extraction schemas automatically
  • Classify — identify document type
  • Section / Split — detect sections and split bundled documents

Snowflake Integration

ADE and LandingLens ship as Snowflake Marketplace native apps, so data and compute stay inside your own Snowflake account. Snowflake Ventures has invested in LandingAI, but this is an investment and partnership, not an acquisition.

LandingLens (Visual Inspection)

Data-centric AI platform for building defect-detection models no-code from small amounts of high-quality data, deployable to edge devices on the factory floor. Used in manufacturing, agriculture, healthcare, and construction.

  • Defect detection
  • Quality control
  • Process anomaly detection
  • Dimensional measurement

Pricing

The Agentic APIs now have public self-serve pricing, so you can start on a free tier without contacting sales.

PlanPriceDetails
Explore1,000 free credits, then $1 = 100 creditsPay-as-you-go, for validation and PoCs
Team$250 / month25,000 credits/month, team management, email support, optional zero data retention
EnterpriseCustomSaaS / VPC / on-prem, priority rate limits, HIPAA and BAA

LandingLens production deployments (priced by plant scale and camera count) are quoted individually.

Common Use Cases

  • Invoice and purchase-order digitization
  • Insurance and healthcare claim processing
  • Extracting figures from financial reports and prospectuses
  • Electronics and auto-parts defect detection (LandingLens)
  • Crop disease detection and harvest timing (LandingLens)

Strengths

  • No templates required for complex documents
  • Visual grounding traces every value back to the source
  • Free tier and $250/month plan — no sales call needed
  • Runs inside Snowflake, so data never leaves your account
  • Small-data inspection model building (LandingLens)
  • Andrew Ng-founded credibility

Weaknesses

  • Focus has shifted to document extraction; LandingLens is no longer the headline product
  • General-purpose VLMs and rival OCR are closing the capability gap
  • Production visual inspection still requires camera and edge hardware setup
  • Enterprise features (VPC / on-prem) are contact-sales only

Official Resources

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