Nearly every enterprise runs on documents. Legal agreements, claims packets, forms, loan applications, contracts, just to name a few. These documents can be long, messy, complex, and multimodal, including scanned forms, nested/complex tables, charts, graphs,...
The messy reality of enterprise documents has long been a wrestling match. Contracts arrive with embedded signatures, invoices are scanned at awkward angles and compliance files are littered with checkboxes, seals and stamps. While large language models within...
Strategic investment secures ABB’s use of LandingAI’s vision AI capabilities, such as LandingLens™, for robot AI vision applications Pre-trained models, smart data workflows and no-code tools reduce training time by 80% and accelerate deployment in fast-moving sectors...
Over the past four months, LandingAI’s Agentic Document Extraction tool has seen rapid adoption across industries. Motivated by this momentum, our team has been hard at work expanding the tool’s capabilities. We’re excited to introduce a major new feature: Field...
SAN FRANCISCO, JUNE 3, 2025 — LandingAI today announced at Snowflake’s annual user conference, Snowflake Summit 2025, that it has been named the 2025 Startup Program Data Cloud Product Partner of the Year award winner by Snowflake, the AI Data Cloud company. LandingAI...
