Rajesh Iyengar, Bestselling Author and CEO of Lincode Labs
The company Rajesh Iyengar founded, Lincode Labs
Rajesh Iyengar, CEO of Lincode, sees his guide to reliable manufacturing AI named an Amazon bestseller and showcased in New York’s Times Square.
DETROIT, MI, UNITED STATES, September 16, 2026 /EINPresswire.com/ — The book by Lincode Labs CEO Rajesh Iyengar, titled Teach the Factory to See: How Production, Manufacturing Engineering, and Quality Teams Make AI Inspection Dependable, has achieved bestseller status on Amazon (https://youtu.be/xXcc-ildpv4) and has also been spotlighted in New York’s Times Square (https://youtu.be/ueJO6Va3EcU).
These achievements highlight a core question central to AI adoption in manufacturing: what is required to ensure AI inspection systems are trustworthy on an active factory floor?
Within these pages, Iyengar offers a hands-on methodology for addressing this challenge. Leveraging his background in real-world factory implementations, he links the technical choices involved in AI vision to the daily operational concerns of production, engineering, and quality assurance teams.
The core thesis is straightforward: reliable inspection depends on aligned choices regarding people, processes, optics, data, and technology. A camera capturing an image and a model classifying it are just pieces of a larger framework that must deliver consistent decisions in authentic factory settings.
Iyengar explores the divide between a promising AI demo and a system trusted by those on the production line. Through detailed factory scenarios, the book illustrates how factors like lighting, reflections, surface debris, and shifting production variables influence inspection outcomes. These examples offer readers a clear picture of why a method that seems viable in a controlled setting often needs considerable engineering and operational adjustments before it can be deployed.
The text also stresses the need to define inspection goals before choosing any technology. Teams must agree on what counts as a defect, which attributes need measuring, and whether a given inspection method can spot the critical issue. This framework helps leaders evaluate technical options and establish practical success benchmarks.
Teach the Factory to See prepares manufacturing leaders to pose more informed questions about AI investments, readiness for deployment, and tangible production benefits. Its insights are valuable for organizations just starting a visual-inspection project, troubleshooting a struggling pilot, or looking to scale an existing system to more lines and facilities.
Iyengar approaches quality inspection from a business standpoint, analyzing how missed defects and false positives affect operations, expenses, and customer trust. He notes that a rejected good part can lead to extra handling, rechecking, or disposal, while an undetected flaw may incur rising costs as it travels through production and reaches the end user. Recognizing these impacts helps teams link inspection performance to the overall financial health of manufacturing.
Human input is another key focus. The book highlights the critical role of operators and quality engineers in training, overseeing, and refining manufacturing AI. Their insights into acceptable variability, production conditions, and frequent issues are vital for creating systems that are both practical and reliable.
Iyengar’s Industry 5.0 vision puts human judgment at the core of technological advancement, demonstrating how intelligent tools can enhance worker expertise. He explores the shared duties that arise when production, engineering, quality, and technology groups collaborate to integrate inspection into routine operations.
The discussion extends beyond simple pass/fail outcomes. Iyengar shows how traceability, defined accountability, and insights from inspection data can help organizations identify persistent problems and implement corrective measures. His viewpoint links visual inspection to the broader objective of creating a factory that learns from its experiences.
Aimed at engineering managers, quality leaders, plant supervisors, operations executives, and their support teams, Teach the Factory to See demystifies complex implementation topics without assuming technical expertise. It provides a shared framework suitable for project reviews, supplier conversations, and strategic manufacturing planning.
With its bestseller status and Times Square feature, Teach the Factory to See shines a light on Iyengar’s pragmatic approach to the future of manufacturing AI.
Rajesh Iyengar serves as CEO of Lincode Labs, an AI visual-inspection company dedicated to manufacturing quality. His book synthesizes his experience in technology, entrepreneurship, and factory deployments to assist manufacturing organizations in aligning AI capabilities with production needs.
Teach the Factory to See: How Production, Manufacturing Engineering, and Quality Teams Make AI Inspection Dependable is now available on Amazon (https://www.amazon.com/dp/B0HHYMQ27Y).
Nitin Kartik, CEO of Caribou Strategic, supported Iyengar in bringing this bestselling book to market.
ABOUT LINCODE LABS:
Lincode Labs creates AI-driven visual inspection tools that assist manufacturers in spotting defects and enhancing quality assurance. Under the leadership of CEO Rajesh Iyengar, the company merges artificial intelligence, machine vision, and manufacturing know-how to tackle inspection challenges in live production settings. Lincode partners with manufacturing teams to align technology with operational needs, fostering more reliable inspection outcomes and enabling personnel to apply their skills to boost factory performance. For additional details, visit https://lincode.ai
ABOUT CARIBOU STRATEGIC:
Caribou Strategic transforms CEOs into bestselling authors (the premier benchmark of thought leadership) with a fully performance-based model (no upfront costs; you pay only for each week your book attains Amazon bestseller status—a feat achieved by fewer than 2% of books, per Forbes), managing all the work including ghostwriting, cover design, launch, marketing, publicity, and more. For additional details, visit https://cariboustrategic.com/p
Nitin Kartik
Caribou Strategic
+1 847-652-2149
email us here
Caribou Strategic client, CEO at Lincode Labs, and bestselling author Rajesh Iyengar’s book ‘Teach the Factory to See’ featured in New York Times Square
