How Landing AI transforms enterprises with AI solutions

Following the announcement that Landing AI has joined the NVIDIA Metropolis Partner Programme we take a look at the company’s work with AI

Pioneering the next era of artificial intelligence (AI), Landing AI was founded in 2017 by Andrew Ng, Co-Founder of Coursera, Former Chief Scientist of Baidu, and Founding Lead of Google Brain. The company supports others with limited datasets to realise the business and operational value of AI and move AI projects from proof-of-concept to full-scale production.

The company’s flagship product, LandingLens, is an enterprise MLOps platform that builds, iterates and operationalises AI-powered visual inspection solutions for manufacturers. With data quality key to the success of production AI systems, LandingLens enables optimal data accuracy and consistency.

Landing AI is uniquely positioned to lead the development of AI from a technology that benefits a few to a technology that benefits all. With a wide array of features, the platform helps teams develop and deploy reliable and repeatable inspection systems utilising deep learning technology for a wide range of tasks in a production environment. 

A composition of three modules, Data, Model and Deployment, LandingLens manages data, accelerates troubleshooting, and scales to deployment.

The company supports the automotive, electronics and pharmaceutical and medical industries.

Utilising the LandingLens platform to improve efficiency

LandingLens is the only end-to-end automated inspection platform that enables machine vision and machine learning engineers to quickly, easily, and collaboratively train, test, confirm, and deploy deep-learning models. 

This is based on high-quality and verified data to edge devices on the plant floor. In doing so, the automation platform speeds up the labelling process by as much as 10 times and manages a few to thousands of models with minimal resources.

Users of the platform often see substantial improvements in system accuracy as they are able to track and manage the efficiency of AI projects, current data assets, and deployed solutions across all company site locations.

The AI-enabled platform also learns continuously so is able to identify issues caused by the environment and raises alerts when the model drifts.

Commenting on the benefits of the platform, Amir Kashani, Director of AI and Digital Product Development at Stanley Black & Decker said: “Having the LandingLens workflow was really useful. This tool helped us reduce rework, quality-related downtime and project costs.”

Landing AI’s recognition as a leader in the industry

For its pioneering work, Landing AI was recognised by Forbes as one of America’s Best Startup Employers 2022.

“We are thrilled to be named a Best Startup Employer by Forbes. We see a future where AI is widely deployed to the benefit of ever more companies and industries and that vision is attracting some of the world’s best talent,” said Ng.

Just before this announcement, the company announced that machine vision expert, David L. Dechow, machine vision industry thought leader, had joined the expanding Landing AI team as VP of Outreach and Vision Technology. 

Recently, the company joined NVIDIA Metropolis, a programme designed to nurture and bring to market a new generation of applications and solutions that make the world's most important spaces and operations safer and more efficient with advancements in AI vision.

"Having successfully deployed the NVIDIA Jetson platform at customer sites, we are thrilled to be part of NVIDIA Metropolis ," said Carl Lewis, Senior Director of Customer Success & Strategic Partnerships at Landing AI. 

"As LandingLens becomes the choice for manufacturers looking to optimise efficiency, we look forward to working closely with NVIDIA and our system integration partners,” he added.


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