The founder of Google Brain research lab, Andrew Ng, has raised $57 million in Series A funding for his startup -- Landing AI, led by McRock Capital, the first investment firm focused exclusively on the Industrial IoT. AI pioneer Andrew Ng's startup provides tools that make building and deploying AI systems in manufacturing faster and easier. "I'm thrilled LANDING AI has closed a $57M Series A for our Data-centric MLOps platform for computer vision. Industrial AI needs a different recipe than Internet companies. It's time to make cutting-edge AI fast and easy for anyone to use," said Andrew Ng, Founder & CEO of Landing AI in a post.

Landing AI, a California-based startup led by Google Brain co-founder Andrew Ng, has just nabbed $57 million in series A for its computer vision platform. Landing AI's flagship product, the LandingLens, doesn't have the highlights you see at Google I/O or the Apple Event, where tech giants introduce how the latest advances in AI are making your personal devices smarter and useful. But its impact could be no less significant than the kind of artificial intelligence technology that is finding its way into consumer products and services. Landing AI is one of several companies that is bringing computer vision to the industrial sector. As industrial computer vision platforms mature, they can bring great productivity, cost-efficiency, and safety to different domains.

Landing AI, which provides tools that make building and deploying AI systems in manufacturing faster and easier than ever, announced Series A funding of $57 million led by McRock Capital, the first investment firm focused exclusively on the Industrial IoT. In addition, New York-based global private equity and venture capital firm Insight Partners, Taiwania Capital, Canada Pension Plan Investment Board (CPP Investments), Intel Capital, Samsung Catalyst Fund, Far Eastern Group's DRIVE Catalyst, Walsin Lihwa, and AI Fund all participated in the round. Landing AI, led by artificial intelligence visionary, Andrew Ng, developed LandingLens, a fast, easy to use enterprise MLOps platform. It applies AI and deep learning to help manufacturers solve visual inspection problems, find product defects more reliably, and generate business value. Landing AI sees the next era of AI as one in which all companies access the benefits of AI--not just consumer internet companies like Google and Facebook--but legacy industries such as manufacturing, healthcare, and agriculture.

Learn more about what comes next. Palo Alto, California-based Landing AI, the AI startup led by Andrew Ng -- the cofounder of Google Brain, one of Google's AI research divisions -- today announced that it raised $57 million in a series A funding round led by McRock Capital. In addition, Insight Partners, Taiwania Capital, Canadian Pension Plan Investment Board, Intel Capital, Samsung Catalyst Fund, Far Eastern Group's DRIVE Catalyst, Walsin Lihwa, and AI Fund participated, bringing Landing AI's total raised to around $100 million. The increased use of AI in manufacturing is dovetailing with the broader corporate sector's embrace of digitization. According to Google Cloud, 76% of manufacturing companies turned to data and analytics, cloud, and AI technologies due to the pandemic.

PALO ALTO, Calif., Nov. 8, 2021 -- Landing AI, which provides tools that make building and deploying AI systems in manufacturing faster and easier than ever, today announced Series A funding of $57 million led by McRock Capital, the first investment firm focused exclusively on the Industrial IoT. In addition, New York-based global private equity and venture capital firm Insight Partners, Taiwania Capital, Canada Pension Plan Investment Board (CPP Investments), Intel Capital, Samsung Catalyst Fund, Far Eastern Group's DRIVE Catalyst, Walsin Lihwa, and AI Fund all participated in the round. "Landing AI will unleash the power of the Industrial IoT one company, one factory, and one manufacturing line at a time." Landing AI, led by artificial intelligence visionary, Andrew Ng, developed LandingLens, a fast, easy-to-use enterprise MLOps platform. It applies AI and deep learning to help manufacturers solve visual inspection problems, find product defects more reliably, and generate business value.