Lincode CEO Rajesh Iyengar's guide to dependable manufacturing AI achieves Amazon bestseller status and is featured in New York Times Square.

DETROIT, MI, UNITED STATES, September 16, 2026 /EINPresswire.com/ -- Lincode Labs CEO Rajesh Iyengar's book, Teach the Factory to See: How Production, Manufacturing Engineering, and Quality Teams Make AI Inspection Dependable, has been named a best seller by Amazon (https://youtu.be/xXcc-ildpv4), and has also been featured in New York Times Square (https://youtu.be/ueJO6Va3EcU).

The milestones bring attention to a practical question at the heart of manufacturing’s adoption of artificial intelligence: what does it take to make AI inspection dependable on a working production line?

In his bestselling book, Iyengar presents a practical framework for answering that question. Drawing on his experience with factory deployments, Iyengar connects the technical decisions behind AI vision with the operational priorities of production, manufacturing engineering, and quality teams.

The book advances a central argument: dependable inspection requires coordinated decisions about people, processes, optics, data, and technology. A camera’s ability to capture an image and a model’s ability to classify it are parts of a larger system that must support consistent decisions under actual factory conditions.

Iyengar examines the gap between a successful AI demonstration and a system that earns the trust of the people running a production line. Through factory examples, the book explores how lighting, reflections, surface contamination, and changing production conditions shape inspection performance. These details give readers a concrete understanding of why an approach that looks promising during a controlled test may require substantial engineering and operational preparation before deployment.

The book also addresses the importance of defining the inspection requirement before selecting the technology. Teams need to agree on what constitutes a defect, which characteristics must be measured, and whether the proposed inspection method can detect the condition that matters. This approach gives leaders a foundation for evaluating technical proposals and setting meaningful acceptance criteria.

Teach the Factory to See equips manufacturing leaders to ask sharper questions about AI investments, deployment readiness, and measurable production value. Its guidance is relevant to organizations evaluating their first visual-inspection project, addressing a struggling pilot, or preparing to expand an established system across additional lines and plants.

Iyengar brings a business perspective to quality inspection by examining how missed defects and false rejections affect workflow, costs, and customer confidence. Iyengar explains how a rejected good part may create unnecessary handling, reinspection, or scrap, while an undetected defect can accumulate additional cost as it moves through production and reaches the customer. Understanding those consequences helps teams connect inspection performance with the broader economics of manufacturing.

Human expertise is another central theme. The book champions the knowledge of operators and quality engineers as essential to teaching, supervising, and improving manufacturing AI. Their understanding of acceptable variation, production conditions, and recurring problems helps shape systems that people can use and trust.

Iyengar’s vision of Industry 5.0 places human judgment at the center of technological progress, showing how intelligent systems can amplify workforce expertise. The book explores the shared responsibilities that emerge when production, engineering, quality, and technology teams work together to make inspection part of everyday operations.

It also looks beyond the immediate pass-or-fail decision. Iyengar explains how traceability, clear ownership, and feedback from inspection can help organizations investigate recurring issues and guide corrective action. Iyengar's perspective connects visual inspection with the longer-term goal of building a factory that learns from its production experience.

Written for engineering managers, quality leaders, plant managers, operations executives, and the teams supporting them, Teach the Factory to See makes complex implementation questions accessible without requiring readers to be data scientists. It offers a common framework that teams can bring into project reviews, vendor discussions, and manufacturing strategy conversations.

As a bestseller featured in New York Times Square, Teach the Factory to See brings greater visibility to Iyengar’s practical perspective on the future of manufacturing AI.

Rajesh Iyengar is CEO at Lincode Labs, an AI visual-inspection company focused on manufacturing quality. Iyengar's book draws together his experience in technology, entrepreneurship, and factory deployment to help manufacturing organizations connect AI capabilities with production needs.

Teach the Factory to See: How Production, Manufacturing Engineering, and Quality Teams Make AI Inspection Dependable is available on Amazon (https://www.amazon.com/dp/B0HHYMQ27Y).

Nitin Kartik, CEO at Caribou Strategic, helped Iyengar publish his bestselling book.


ABOUT LINCODE LABS:
Lincode Labs develops AI-powered visual inspection solutions that help manufacturers detect defects and strengthen quality control. Led by CEO Rajesh Iyengar, the company brings together artificial intelligence, machine vision, and manufacturing expertise to address inspection challenges in real production environments. Lincode works with manufacturing teams to connect technology with operational needs, supporting more consistent inspection decisions and helping people apply their expertise to improving factory performance. For more, visit https://lincode.ai

ABOUT CARIBOU STRATEGIC:
Caribou Strategic transforms CEOs into bestselling authors (the gold standard of thought leadership) with a 100% pay-for-performance model (pay ZERO upfront, and only pay per week your book achieves Amazon bestseller status - which less than 2% of books achieve according to Forbes), handling all the heavy lifting including ghostwriting, cover design, launch, promotion, publicity, and more. For more, visit https://cariboustrategic.com/p

Nitin Kartik
Caribou Strategic
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