LandingAI is a company that provides a cutting-edge software platform that makes computer vision easier for a wide range of applications across all industries. Pulse 2.0 interviewed LandingAI’s Senior Director of Partnerships Carl Lewis to learn more about the company.
Carl Lewis’ Background
What is Carl Lewis’ background? Lewis said:
“As the Senior Director of Partnerships at LandingAI, I am responsible for the global relationship with Capgemini, and together, we help solve customers’ most challenging problems with the application of new innovative AI solutions. I have over 25 years of experience designing and deploying computer vision systems for clients across many industries including manufacturing and have a degree in Mechatronics Engineering specializing in computer vision and robotics from the University of South Wales (UK) along with an MBA in Technology and Innovation management from the Open University (UK).”
Formation Of LandingAI
How did the idea for LandingAI come together? Lewis shared:
“LandingAI was founded by AI visionary Andrew Ng. He wanted to build a company that provides access to AI for everyone, irrespective of background, and unlock its power and possibilities.”
Favorite Memory
What has been your favorite memory working for the company so far? Lewis reflected:
“Every day working at LandingAI is exciting and enjoyable because I get to work with an amazing talented team. Each day is incredibly varied as we help customers and partners solve so many computer vision use cases across multiple verticals.”
Core Products
What are the company’s core products and features? Lewis explained:
“LandingAI helps companies build, deploy, and scale computer vision solutions.”
“We offer services to develop your domain-specific Large Vision Models (LVMs) for high-performance downstream applications. The integration with LandingLens, an end-to-end computer vision platform, allows you to build computer vision models hassle-free, quickly iterate on them, and deploy them faster.”
“Companies can gain intelligence from vision data, enabling downstream vision tasks to be developed faster and AI projects to be moved from proof-of-concept to production more efficiently.”
Challenges Faced
What challenges have Lewis and the team faced in building the company? Lewis acknowledged:
“There are always challenges especially since LandingAI is so powerful and easy to use. New users often wish to solve their most challenging problem first and we often recommend starting with an easy quick win.”
Evolution Of LandingAI’s Technology
How has the company’s technology evolved since launching? Lewis noted:
“We recently introduced domain specific large vision models (LVM’s). Much like how Large Language Models or (LLM’s) have transformed how we process text, LVM’s are just starting to change how we process images as well. Domain-specific (DS) LVMs are foundation models trained using your proprietary unlabeled data. The LVM serves as a foundational tool to train downstream models more efficiently, in less time, and with higher performance.”
Customer Success Stories
Upon asking Lewis about customer success stories, he highlighted:
“LandingAI’s customer success stories can be found on our website here: Case Studies.”
Funding
When asking Lewis about the company’s funding, he revealed:
“LandingAI recently announced funding by Snowflake and FPT Software – you can find more information about this in the two links below.
1.) Link 1
2.) Link 2
Differentiation From The Competition
What differentiates LandingAI from its competition? Lewis affirmed:
“LandingAI provides a computer vision platform that provides access to AI for everyone irrespective of background. Our cloud based platform accelerates prototyping and deployment of projects that previously may have taken months to a few days or few weeks.”
Future Company Goals
What are some of the company’s future company goals? Lewis concluded:
“LandingAI’s strategic partnership with Snowflake will drive the next phase of growth as customers will be able to leverage LandingAI’s computer vision capabilities natively on Snowflake via Snowpark Container Services and Snowflake Native Apps. This will enable the building of powerful, custom-built computer vision solutions that process images and videos at scale, all within the secure, governed boundary of the Data Cloud.”
“As Large Language Models are revolutionizing natural language prompts, Large Vision Models (LVMs) represent another new, exciting frontier for AI. An estimated 90% of the world’s data is unstructured, much of it in the form of visual content such as images and videos. Insights from analyzing this visual data can open up powerful new use cases that significantly boost productivity and efficiency, but enterprises need sophisticated computer vision technologies to achieve this.”
