Rajesh Iyengar

Winner. Business Leader of the Year 2022

Innovation and Creativity / Artificial Intelligence and the Internet of Things

Winner's Profile

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Rajesh Krishnaswamy Iyengar


Position: Chief Executive Officer
Company: Lincode Labs Inc.
City: Troy, Michigan
Country: USA
Economic/Business Sector: Technology/Software & IT Services


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About Winner

Rajesh Iyengar is an extraordinary technology entrepreneur specializing in Artificial Intelligence (AI) and the Internet of Things (IoT). He began his journey in the field of Data centers by managing the server infrastructure and cyber security aspects for top-tier data center companies globally.

Mr. Iyengar started his own company in the year 2006. Currently, he is the CEO at Lincode Labs Inc., with around 100 employees and 14 locations globally. He was able to create a vision for the software and lead a team of engineers, designers, AI, ML, IoT experts, and data scientists to develop the system to the required specifications for a successful product.

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Having extensive exposure to various online tools and applications for business intelligence, data management, and competition tracking, Rajesh transforms manufacturers into smart factories with vision intelligence. Lincode Labs helps manufacturers identify product defects in the assembly line using AI and ML. The company's innovative, proprietary, and patent-pending deep learning algorithms help manufacturers overcome the high false positives from Machine Vision technology.

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Mr. Iyengar is responsible for creating a unique and highly significant visual inspection platform solution now used in prominent manufacturing worldwide. His solution is a proprietary no-code tech platform that can be deployed to solve convoluted visual inspection issues with a user-friendly interface. One of the most significant advantages of the Lincode system over the competitors is the ability to reduce up to 60% manual labor and the time for inspection, directly impacting the increase in production and profitability of manufacturing companies globally.

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The solution offered by Lincode Labs is gaining popularity worldwide, with hundreds of enterprises relying on this software to provide an outstanding inspection experience. Lincode Labs partnered with major manufacturers, including, among others, Schneider Electronics, Boeing, Sansera, TE Connectivity, and Suzuki.

Rajesh Iyengar is also a certified White Hat Hacker and an expert in Man-in-the-Middle (MITM) attack prevention & DDoS on IoT devices. He developed a patent-pending Secure OS for IIoT and filled various patents for cloud security products.

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Rajesh is an advisor and investor in several startups in the US and India. He leads project delivery and business development initiatives in achieving higher revenues year by year.

Recent Achievements

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Rajesh Iyengar has been an active participant in creating Artificial Intelligence, Machine Learning, and Industrial IoT solutions and deep tech software platforms that are able to solve complex visual inspection problems with a simple user interface. His work has changed the manufacturing and production sector.

Mr. Iyengar has helped automotive manufacturers globally to reduce the cost of quality inspection using Artificial Intelligence software and regular off-the-shelf cameras. This has led them to improve the quality of delivery to their customers, reduce production costs, and increase production on their assembly lines.

His most important contribution to the field of AI and IoT is the creation of automated visual inspection solutions that can consistently find defects that human inspectors often miss. To address this critical challenge, Rajesh Iyengar has created LIVIS, a groundbreaking software platform able to detect QA issues at higher accuracy rates by using a proprietary model that incorporates artificial intelligence to detect manufacturing defects of less than 2 microns at 120 FPS. The software combines machine learning to predict operational downtime, indicating the likelihood of future product defects. The solution is versatile, works with basic camera equipment in open environments, and performs within a single month of engagement. Thanks to the use of LIVIS, manufacturers can eliminate human error in manufacturing processes and identify flaws in finished goods.

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Personal Achievements:
• Board member in various tech startups of the Silicon Valley;
• Certified Cyber Security Expert;
• Mentor in various startup accelerators and incubators in US and India;
• Exited successfully 3 startups, 2 of them are in the San Francisco Bay Area;
• Built a complete and patented OS;
• Won the Indian Achiever's Award for CEO of the Year;
• Awarded as an industry expert by many companies earlier in his career;
• Participated as a judge for different prestigious technology awards;
• Had several speaking engagements at national and international forums and industry presentations.

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