Landing AI, founded in 2017 by AI pioneer Andrew Ng, is a leading company specializing in data-centric computer vision and AI-powered document extraction. The firm enables organizations to build, deploy, and scale AI models efficiently, with a strong focus on manufacturing and complex unstructured document workflows through agentic document extraction.
About the Company
Landing AI develops artificial intelligence software that transforms large volumes of visual and document data into actionable insights. By leveraging data-centric AI and computer vision technologies, the company helps enterprises implement AI systems across multiple industrial sectors, including manufacturing, healthcare, and logistics. Its main platforms—LandingLens and Agentic Document Extraction (ADE)—allow users to build AI models with minimal programming, converting difficult visual data and unstructured documents into organized, structured data.
Products and Services
Landing AI offers two core platforms: LandingLens for building computer vision systems and Agentic Document Extraction (ADE) for extracting structured data from documents. These tools enable organizations to automate analytics and enterprise workflows using data-centric artificial intelligence. The company also provides API access, consulting services, and strategic partnerships to support deployment.
Leadership
Under the leadership of founder Andrew Ng, a renowned figure in AI, Landing AI has assembled a team of experts driving innovation in computer vision and document automation. The company’s leadership focuses on practical, scalable AI solutions for real-world enterprise challenges.
Revenue Streams
Landing AI generates revenue through subscriptions to its LandingLens SaaS platform, enterprise AI solutions, API access for agentic AI tools, strategic partnerships, and consulting services for deploying data-centric computer vision applications.
Target Markets
The company serves B2B clients across industries such as manufacturing, finance, healthcare, logistics, agriculture, and technology. Geographically, its solutions are adopted by organizations in North America, Europe, Asia-Pacific, and other global regions. Key client segments include enterprises looking to enhance their computer vision systems, document automation processes, and data extraction capabilities.
Leave a Reply