A leading AI-Visual Inspection Company
Patent-Pending Surface Defect Detection Solution
Distinctly Powerful Action and Object Detection Model
Easily compatible with basic 2D cameras
Highly Accurate and Precise OCR Capabilities
Assists Quality Control and Assurance

Transforming the way visual inspection is done using AI

The #1 business challenge that manufacturers identify is quality management. As new manufactured products continue to enter the market and consumer expectations shift faster than ever, factories are looking to improve their quality systems while scaling operations and cutting costs. At Lincode, we enable manufacturers to improve the speed, accuracy, and data tracking capabilities of their quality inspection systems at scale.

Being Robust

A powerful solution that can capture surface defects accurately, no matter what the orientation of the product is to be.

Seamless Integration

The efficiency of the solution remains unaffected by the lighting, dust, vibration, or any other external factor of the manufacturing facility.

Eliminate False Positives

As Traditional Inspection Systems generate high false positives, our solution captures trained and untrained defects.

Achieve Zero PPM Goal

Advanced analytics will enable the factory owners, supervisors, and operators to better manage the productivity and through-put by measuring KPIs.

Lincode Over Traditional Machine Vision

Built in The Factory

We originally developed our technology in actual factories, not a lab, so our product account for real-world complexities like changes in lighting, dust, and vibrations

More Reliability with Next-Gen AI

By using advanced AI, our system can reduce false-positives and false-negatives compared to traditional machine vision, increasing output and reducing costs

Software Driven, Hardware Enabled

Our system is software based and compatible with most cameras and other hardware, reducing cost and time to deployment.

Automated Data Training

Our patent-pending AI technology enables fast training with limited data sets, reducing cost and time to deployment.

API Integration

Our system connects with robotic arms, MIS systems, and other existing factory solutions through APIs to autonomously enable desired actions.

Real-Time Data Capture

Our system can be deployed on premise on via the cloud, and both cases enable real-time access to critical data about dimensions, defects, and other data from anywhere in the world .



Powerful Industry 4.0 solution

The Lincode Visual Inspection System (LIVIS) is our flagship Industry 4.0 solution that enables manufacturers to identify surface defects, identify and measure individual components, and generate real-time data about products on the production line. By leveraging AI and deep learning, we are able to capture many false-positives and false-negatives including the untrained defects.

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Our Team

Rajesh Iyengar

Founder, CEO

3 successful ventures and 19+ years of experience in IT, manufacturing Industry. Rajesh has also developed a patent-pending Secure OS for IIoT.

Ritika Nigam

Co-founder, CTO

13+ years of experience in senior technology roles and architecting solutions across multiple domains such as extreme Healthcare, Adwords, HCM, IT & Networking.

Jayne Riemer-Chishty

VP - Business Development

30+ of experience years in strategy, business development and marketing. An advisor to Lincode on business development, marketing, and partnerships.

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Our Customers


Join the SMAARC Community

The Smart Manufacturing with AI, AR & Robotics Consortium (SMAARC) is an ecosystem of industrial partners at the forefront of manufacturing technology and innovation. The consortium hosts discussion groups and events to enable manufacturing specialists to leverage each other’s talents, experiences, and connections in order to build new partnerships. Bursting the myth that building smart factories is inherently expensive, complicated, and time-consuming, SMAARC helps manufacturing companies adopt cutting-edge automation solutions for Industry 4.0.

We welcome you to become a part of the SMAARC community. If you wish to partner with us, please help us with your details to register with our community and get updates about SMAARC events, news, and activities.
Looking forward to associating with you!

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