LandingAI
LandingAI is a private visual AI company that provides Agentic Document Extraction and LandingLens computer vision products to enterprise customers in financial services, healthcare, manufacturing, and energy, using proprietary multi-modal Large Vision Models to convert complex documents and images into structured, auditable data.
- Company typePrivate
- Founded2017
- HeadquartersMountain View, United States
- Headcount51–100
- GTM typeB2B
- OfferingSoftware
What LandingAI does
LandingAI is a private visual AI company founded in 2017 by Andrew Ng and headquartered in Palo Alto, California, with 51-100 employees. The company operates two core products under a unified vision AI platform: Agentic Document Extraction (ADE), an API-first service that converts complex multimodal documents — including handwritten text, dense tables, forms, charts, and multi-page PDFs — into structured, auditable JSON with page-level and coordinate-level visual grounding; and LandingLens, a deep-learning computer vision platform that enables users without programming expertise to build and deploy visual inspection models for manufacturing, infrastructure, and industrial use cases. Underlying both products are proprietary multi-modal Large Vision Models and the DPT-2 (Document Pre-trained Transformer) model, with documented benchmark performance of 99.16% on DocVQA without images and a top composite score in third-party agentic document extraction evaluation.
The company sells through a hybrid motion: a product-led self-serve tier with free trial and credit-based usage pricing for ADE, subscription tiers (Pay-As-You-Go, Subscription, Enterprise) for LandingLens, and enterprise field sales for large organizations. Additional distribution channels include Snowflake Native Apps running inside customer Snowflake environments, OEM embedding (notably ABB Robotics), and a Builder Program for developer and SI partners. LandingAI serves 50+ named enterprise customers across financial services (Barclays, Morgan Stanley, Autyn), healthcare and pharmaceuticals (Roche/Genmark, AbbVie, AstraZeneca, Eolas Medical), manufacturing and semiconductors (Foxconn, Schaeffler, NXP, Toyota, Intel, AMD, Qualcomm, Seagate, Parker Hannifin), energy (GE Vernova, Siemens Energy), and legal (GreenLite). The company is SOC 2 Type II, GDPR, and HIPAA compliant with a Zero Data Retention option. Funding history includes a $57M Series B in November 2021 led by McRock Capital, with subsequent undisclosed strategic investments from Sirius Investment, Snowflake Ventures, Pure Storage, and ABB Ventures.
LandingAI firmographics
Firmographics- Name
- LandingAI
- Legal name
- LandingAI, Inc.
- Website
- https://landing.ai
- Company type
- Private
- Founded year
- 2017
- Operating status
- Operating
- Headcount range
- 51–100 employees
- Short description
- LandingAI is a private visual AI company that provides Agentic Document Extraction and LandingLens computer vision products to enterprise customers in financial services, healthcare, manufacturing, and energy, using proprietary multi-modal Large Vision Models to convert complex documents and images into structured, auditable data.
- Ownership category
- akta.pro rank
Where LandingAI is headquartered
LocationHeadquarters
- HQ city
- Mountain View
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
LandingAI business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations
Revenue model
- Agentic Document Extraction API: Credit-based pricing model for API usage with feature-specific add-ons. Flexible pricing designed to fit different product and go-to-market models.
- LandingLens Platform: Subscription-based access to LandingLens platform with options for Pay-As-You-Go, Subscription, and Enterprise tiers. Cloud and edge deployment options.
- Snowflake Native App: Platform access through Snowflake Marketplace, enabling customers to run LandingAI applications within their own Snowflake environment with separate marketplace economics.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Pay-as-you-go | Free trial available for Agentic Document Extraction |
| Hybrid | Monthly | Builder Program with flexible pricing |
Go-to-market motion4 records
Distribution channels5 records
Marketing channels9 records
LandingAI product offering
Product offeringCore offering
LandingAI is an API-first Agentic Document Extraction platform that converts complex, multi-page, multimodal documents into structured, auditable JSON data using proprietary multi-modal Large Vision Models. The company also offers LandingLens, a deep-learning computer vision platform that enables users to build and deploy AI visual inspection models without complex programming for manufacturing quality control and defect detection. Both products are available via REST API, cloud SaaS, and as Snowflake Marketplace applications.
Product overview
LandingAI offers a unified visual AI platform with two core products: Agentic Document Extraction (ADE) for intelligent document processing and LandingLens for computer vision/visual inspection. Agentic Document Extraction is available via REST API with Python/TypeScript SDKs, while LandingLens is a no-code visual AI platform. Both products are available as cloud SaaS services and as native Snowflake Marketplace applications. The product portfolio is supported by the Builder Program for developer partners and powered by proprietary models including DPT-2. The company emphasizes data-centric AI approaches and provides enterprise security with SOC 2 Type II, GDPR, and HIPAA compliance.
Differentiator
Problem solved
Functional benefit
Products and services
- Agentic Document Extraction (ADE) An API-first document intelligence service that converts any document type into structured, auditable JSON data with full visual grounding. Provides end-to-end parsing, splitting, and field extraction for multi-page, complex, multimodal documents. Built for enterprise teams that need accurate, traceable document data extraction across financial services, healthcare, insurance, legal, and logistics.
- LandingLens A deep-learning computer vision platform that enables users to build and deploy AI-powered visual inspection models without complex programming. Supports data-centric AI workflows with collaborative labeling, continuous learning, and cloud or edge deployment. Used by manufacturing enterprises for visual inspection, defect detection, anomaly identification, and quality control.
- Snowflake Native Apps (ADE and LandingLens) Connected Apps and Snowflake Native App versions of Agentic Document Extraction and LandingLens available in the Snowflake Marketplace, allowing customers to deploy LandingAI's capabilities directly within their Snowflake environment without moving data outside the platform.
Quantifiable outcome
- Loan processing time reduced from 2 hours to 2 minutes at 98% accuracy
- +4 more outcomes
Companies that use LandingAI
Customer profileNamed customers19 records
Segments8 records
Ideal customer profiles5 records
LandingAI technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration2 records
AI capability9 records
Feature5 records
LandingAI partnerships and signals
Strategic signalPartnerships
Four partnerships are on record, tiered core and flagship.
- TCG ProcesscoreTCG Process integrates LandingAI's Agentic Document Extraction (ADE) into its OCTO platform, a no-code process automation tool for document workflows. This collaboration expands OCTO's capabilities with AI-driven data extraction, supported by LandingAI's Builder Program. TCG Process is one of the first partners in LandingAI's Builder Program.
- ABB RoboticsflagshipABB Robotics invested in LandingAI to integrate LandingAI's vision AI capabilities, including the LandingLens platform, into ABB's robotics software suite. The collaboration aims to reduce robot vision AI training and deployment time by up to 80 percent, making automation accessible to businesses in logistics, healthcare, and food & beverage sectors. This first-of-its-kind partnership supports ABB's Autonomous Versatile Robotics (AVR) strategy.
- SnowflakeflagshipLandingAI offers Agentic Document Extraction and LandingLens as Connected Apps on Snowflake Marketplace. All processing takes place inside the customer's Snowflake account, maintaining security and governance. Enables integration with Snowflake Cortex features including Agents, Analyst, Search, and Knowledge Extensions.
- phDatacorephData is a Builder Program partner helping enterprises build reliable, production-grade AI solutions. They use ADE for parsing financial filings, extracting healthcare data, and streamlining legal reviews for their customers.
Scale indicators6 records
Recent moves6 records
Expansion highlights6 records
LandingAI competitors and assessment
Company assessmentDirect peers
- Hyperscience: AI-native document processing platform serving financial services, insurance, and government. Competes directly with LandingAI in complex document extraction and automation workflows.
- Roboflow: Computer vision platform for building, training, and deploying vision models. Closest direct peer to LandingLens in the data-centric computer vision tooling space, often used for visual inspection and manufacturing QA.
- Rossum: Agentic AI document processing platform focused on accounts payable, invoice, and order automation. Closest direct peer to LandingAI's ADE with similar vision-first, agentic positioning.
- ABBYY: Long-standing intelligent document processing vendor with Vantage and FlexiCapture platforms. Competes with LandingAI in enterprise document extraction for financial services, insurance, and legal verticals.
Emerging players
- Scale AI: Data-centric AI platform with document parsing, fine-tuning, and computer vision capabilities. Overlaps with LandingAI on vision model training data and document AI for enterprise applications.
- Encord: Data-centric AI platform for labeling, curating, and evaluating computer vision datasets. Comparable to LandingLens for vision AI development workflows in production ML teams.
Broad incumbents
- UiPath: Leading robotic process automation and document understanding platform. Competes with LandingAI through its Document Understanding product and broader automation ecosystem.
- Microsoft Azure AI Document Intelligence: Microsoft's document AI service (formerly Form Recognizer) with prebuilt and custom models for extraction. Competes directly with ADE and benefits from Azure's enterprise distribution and Office 365 ecosystem.
- Amazon Textract: AWS's document extraction service offering OCR, form, and table extraction. Direct competitor to LandingAI's ADE with the distribution advantage of the AWS ecosystem.
- Google Document AI: Google Cloud's document understanding suite offering parsing, extraction, and form processing. Most direct hyperscaler competitor to LandingAI's Agentic Document Extraction, with broad enterprise distribution through Google Cloud.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat6 records
Key risks5 records
Key highlights7 records
Customer concentration
LandingAI social profiles
Digital presenceLandingAI compliance and trust
Trust signalCompliance3 records
LandingAI financial estimates
Financial estimateRevenue estimate
Valuation estimate
LandingAI leadership team
Management profileNumber of profiles
Profiles7 records
LandingAI funding detail
Funding detailFunding overview
Funding rounds7 records
Investors15 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
LandingAI M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about LandingAI
What does LandingAI do?
LandingAI is an API-first Agentic Document Extraction platform that converts complex, multi-page, multimodal documents into structured, auditable JSON data using proprietary multi-modal Large Vision Models. The company also offers LandingLens, a deep-learning computer vision platform that enables users to build and deploy AI visual inspection models without complex programming for manufacturing quality control and defect detection. Both products are available via REST API, cloud SaaS, and as Snowflake Marketplace applications.
Is LandingAI a public or private company?
LandingAI is a private company. It is classified as venture growth investor backed and is currently operating.
When was LandingAI founded?
LandingAI was founded in 2017. It employs 51 to 100 people.
Where is LandingAI based?
LandingAI is headquartered in Mountain View, United States, in the North America region.
How does LandingAI make money?
Three revenue lines are on record. Agentic Document Extraction API is the primary driver. The others are landingLens Platform and snowflake Native App.
Who are LandingAI's main competitors?
Direct peers on record are Hyperscience, Roboflow, Rossum and ABBYY. Emerging players are Scale AI and Encord. Broad incumbents are UiPath, Microsoft Azure AI Document Intelligence, Amazon Textract and Google Document AI.
Does LandingAI have an API?
Yes. LandingAI offers a REST API for Agentic Document Extraction (ADE) that provides end-to-end document parsing, splitting, and field extraction capabilities. The API converts documents into structured JSON with full visual grounding and traceable outputs. Python and TypeScript libraries are available for integration. The API supports modular functions including Parse (converts documents to structured data), Split (segments multi-document files), and Extract (extracts specific fields using user-defined schemas). Credit-based pricing with feature-specific add-ons. Developer documentation is at docs.landing.ai.