Loading organizations...
§ Private Profile · Palo Alto, CA, USA
LandingAI is a technology company.
LandingAI develops enterprise AI solutions, notably its Agentic Document Intelligence platform and LandingLens. The company provides an API-first platform designed for accurate, reliable, and governed document extraction, alongside an end-to-end, low-code platform that empowers users to label, train, and deploy custom computer vision models. Its modular APIs focus on capabilities like parsing, splitting, and extracting structured data from complex, real-world documents, offering auditable and production-ready AI for diverse enterprise needs.
The company was founded by prominent AI pioneer Andrew Ng, known for his foundational work at Google Brain, Baidu, and Coursera. His insight centered on bridging the gap between cutting-edge AI research and practical enterprise applications, enabling businesses to leverage advanced visual and document AI without extensive in-house expertise. This led to the creation of accessible tools that democratize AI development and deployment for industrial use cases.
LandingAI serves a broad array of enterprises across sectors such as financial services, insurance, healthcare, energy and utilities, and legal. The company's vision is to make AI practical and impactful for businesses by transforming complex visual and document data into actionable intelligence. It aims to accelerate the adoption of sophisticated AI by providing solutions that are not only powerful but also easy to integrate and scale within existing operational frameworks.
LandingAI has raised $57.0M across 1 funding round.
LandingAI has raised $57.0M in total across 1 funding round.
LandingAI is a technology company specializing in visual AI software that enables businesses to build, deploy, and scale computer vision solutions without deep AI expertise.[1][2][3][5] Its flagship product, LandingLens, is a low-code/no-code platform for creating custom computer vision models for tasks like defect detection, object recognition, and quality control, serving industries such as automotive, manufacturing, electronics, pharmaceuticals, life sciences, and infrastructure.[1][2][6][7] LandingAI solves the challenge of unlocking value from vast visual datasets by accelerating AI projects from proof-of-concept to production, often with limited data, through data-centric AI approaches that improve accuracy and efficiency for quality managers, production engineers, and operations leaders.[2][3][6] The company also offers VisionAgent for rapid prototyping and Agentic Document Extraction (ADE) for intelligent document processing, with integrations like Snowflake for scalable workflows; it boasts strong growth, trusted by over 30K users, processing 1B+ images yearly at 99.99% uptime, and cutting deployment time by 80% on average.[1][5][7]
LandingAI was founded by Andrew Ng, AI pioneer, co-founder of Coursera, and founding lead of Google Brain, alongside key executives including CEO Dan Maloney, VP of Engineering Daniel Bibireata, and others with deep AI and enterprise tech experience.[3][4][5] The idea emerged from Ng's vision to make computer vision accessible, leveraging data-centric AI to help industrial organizations operationalize visual data that was previously underutilized.[2][5][6] Early traction came from its focus on no-code tools like LandingLens, enabling rapid model building even for non-experts, which quickly gained adoption in manufacturing and beyond, evolving from core computer vision to expanded offerings like ADE and agentic tools.[1][5][7]
LandingAI rides the visual AI and data-centric AI wave, capitalizing on exploding visual data from cameras, sensors, and documents in Industry 4.0, where traditional AI struggles with sparse labeled data.[2][6] Timing is ideal amid generative AI hype and agentic systems, positioning its low-code platform as a bridge for non-tech industries to adopt computer vision amid labor shortages and quality demands.[1][5][7] Market forces like edge computing growth, MLOps needs, and partnerships (e.g., AWS, FPT, Snowflake) favor it, while its accessibility democratizes AI, influencing ecosystems by enabling faster digital transformation in manufacturing and beyond—customers like Toyota, Intel, and Foxconn exemplify its role in automating inspections and analytics.[3][4][7]
LandingAI is poised to expand as agentic AI and multimodal models dominate, with ADE and VisionAgent evolving into full enterprise suites for document intelligence and real-time vision apps.[1][5] Trends like on-device AI, stricter compliance, and vertical LLMs will amplify its edge in industrial Visual AI, potentially growing via deeper integrations and global partnerships. Its influence may evolve from enabler to leader, powering autonomous factories and beyond, as more firms chase the untapped value in their visual data—echoing Ng's mission to make AI production-ready for all.[5][7]
LandingAI has raised $57.0M in total across 1 funding round.
LandingAI's investors include Scott MacDonald, 01 Advisors, Insight Partners, Zeev Capital, AI Fund, Far Eastern Group, Intel Capital, Samsung Catalyst Fund, Walsin Lihwa.
LandingAI has raised $57.0M across 1 funding round. Most recently, it raised $57.0M Series A in November 2021.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Nov 1, 2021 | $57M Series A | Scott Macdonald | 01 Advisors, Insight Partners, Zeev Capital, AI Fund, FAR Eastern Group, Intel Capital, Samsung Catalyst Fund, Walsin Lihwa | Announced |