Landing AI

A few hundred photos of parts coming off a production line can be enough to train a model that flags the defective ones.

Landing AI is a computer vision platform for building and deploying visual AI models, built for teams that have limited training data.

Its approach is data-centric AI, which means you spend effort improving the quality of your labeled data instead of only tweaking the model.

The flagship product is LandingLens, which the company pitches as computer vision that does not require a machine learning specialist.

A version called LandingLens on Snowflake suits teams that keep their data there.

Agentic Document Extraction pulls information out of documents, so Landing AI also covers OCR and document processing work, not just image recognition.

Landing AI supports the path from proof-of-concept to full-scale production, including MLOps tasks that keep deployed models efficient.

Developers can build on the platform through an API.

Visual inspection and document-heavy teams are the clearest fit, and the data-centric focus matters most when your data set is small.