Landing AI Secures Funding, Adds Dechow to Executive Team

Manufacturing artificial intelligence company Landing AI named David L. Dechow vice president of outreach and vision technology. Dechow previously served as principal vision systems architect at Integro Technologies. He is a member of the A3 Vision & Imaging Technical Advisory Board and the A3 Vision & Imaging Education Committee.

David Dechow. Courtesy of Landing AI.

David L. Dechow. Courtesy of Landing AI.

"We're thrilled to have David join Landing AI and bring his hands-on expertise to helping manufacturers use cutting-edge deep learning," said Andrew Ng, founder and CEO of Landing AI. "The next era of AI is one in which companies in all industries access the benefits of AI. David's deep knowledge of machine vision and automation will help us get there."

Dechow said, "Adoption of deep learning for machine vision applications has been somewhat slow because of practical problems, including the challenges of on-line imaging and most importantly the potentially small data sets that deep learning technology could not handle. But Landing AI's technology makes cutting-edge deep learning work for automated inspection, and I look forward to helping bring these benefits to all manufacturers."

In November last year, Landing AI secured $57 million in Series A funding in a round led by McRock Capital. The investment will be used to accelerate product innovation, as well as to grow the company’s engineering and operations teams. As part of the deal, McRock cofounder and managing partner Scott MacDonald joined the Landing AI board of directors.

Landing AI's flagship product is LandingLens, an enterprise machine learning operations (MLOps) platform that builds, iterates, and operationalizes AI powered visual inspection solutions for manufacturers.

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Published: January 2022

Glossary

machine vision: Machine vision, also known as computer vision or computer sight, refers to the technology that enables machines, typically computers, to interpret and understand visual information from the world, much like the human visual system. It involves the development and application of algorithms and systems that allow machines to acquire, process, analyze, and make decisions based on visual data. Key aspects of machine vision include: Image acquisition: Machine vision systems use various...
embedded vision: Embedded vision refers to the integration of computer vision technologies into various embedded systems, devices, or machines. Computer vision involves teaching machines to interpret and understand visual information from the world, much like human vision. Embedded vision takes this concept and applies it to systems where the processing occurs locally within the device, as opposed to relying on external servers or cloud-based services. Key components of embedded vision systems include: ...
deep learning: Deep learning is a subset of machine learning that involves the use of artificial neural networks to model and solve complex problems. The term "deep" in deep learning refers to the use of deep neural networks, which are neural networks with multiple layers (deep architectures). These networks, often called deep neural networks or deep neural architectures, have the ability to automatically learn hierarchical representations of data. Key concepts and components of deep learning include: ...

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