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Lincode develops advanced artificial intelligence inspection systems designed to enhance the accuracy and capabilities of traditional machine vision in manufacturing processes. Its core product, LIVIS, is a no-code platform enabling the deployment of AI-based visual inspection at scale. This technology allows manufacturers to automate quality control, detecting surface defects, presence and absence, color, and performing optical character recognition to ensure precision and reduce product flaws.
The company was founded in 2017 by Rajesh Iyengar and Ritika Nigam. Their insight stemmed from the need for more accessible and precise quality control solutions within the manufacturing sector. They aimed to leverage AI to create an affordable and effective inspection platform, addressing the limitations of manual checks and traditional machine vision systems.
Lincode primarily serves manufacturing companies seeking to improve product quality and operational efficiency. The platform empowers these businesses to identify, predict, and eliminate defects, thereby enhancing overall equipment effectiveness. Lincode’s long-term vision is to democratize advanced visual inspection, making high-precision quality assurance attainable for any manufacturing company worldwide.
Lincode has raised $2.0M across 2 funding rounds.
Lincode has raised $2.0M in total across 2 funding rounds.
Lincode has raised $2.0M in total across 2 funding rounds.
Lincode's investors include Altaclub VC, Benhamou Global Ventures, Brand New Matter, Canvas Ventures, Chemi, Matt Ocko, i3 Equity Partners, ICONIQ Capital, InterWest, LombardStreet Ventures, MetaProp Ventures, SeedInvest.
Lincode has raised $2.0M across 2 funding rounds. Most recently, it raised $2.0M Seed in January 2022.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Jan 1, 2022 | $2M Seed | — | Altaclub VC, Benhamou Global Ventures, Brand NEW Matter, Canvas Ventures, Chemi, Matt Ocko, I3 Equity Partners, ICONIQ Capital, InterWest, LombardStreet Ventures, MetaProp Ventures, SeedInvest, TLV Partners, Wildcat Ventures, Keith Masback, ROB Bernshteyn | Announced |
| Jul 1, 2021 | $25K Seed | — | Coelius Capital, Expert Dojo, Homebrew, Long Journey Ventures, MAC Venture Capital, Sand Hill Angels, Harry Hurst, Larry Braitman, Lawrence Braitman, Russell Fradin, Russ Fradin, Terry Dougas | Announced |
Lincode Labs Inc. is a technology company specializing in AI-powered visual inspection solutions for the manufacturing industry. Its flagship product, the Lincode Intelligent Visual Inspection System (LIVIS), leverages deep learning and no-code AI to automate quality control by detecting surface defects, presence/absence, color variations, and OCR on production lines. Lincode serves manufacturers globally, helping them improve product quality, reduce defects, and optimize overall equipment effectiveness with real-time analytics and seamless integration into existing factory systems. The company has demonstrated strong growth, conducting over 260 million inspections, developing 700+ pre-trained AI models, and expanding to more than 14 countries since its founding[1][3][6].
Founded in 2017 by Rajesh Iyengar, Lincode Labs emerged from the need to solve persistent quality inspection challenges in manufacturing through advanced Industry 4.0 technologies. Iyengar’s vision was to create a powerful yet easy-to-deploy AI system that could improve manufacturing efficiency and production capacity while delivering a strong return on investment. Early traction came from the company’s ability to deploy AI models rapidly without requiring extensive coding or hardware upgrades, enabling manufacturers to quickly adopt AI-driven inspection and realize measurable improvements in quality control[1][3].
Lincode rides the wave of Industry 4.0 and smart manufacturing, where AI and IoT technologies are transforming traditional production lines into intelligent, automated systems. The timing is critical as manufacturers face increasing pressure to improve quality, reduce waste, and accelerate production cycles amid global supply chain challenges. Lincode’s no-code, hardware-agnostic approach lowers barriers to AI adoption, enabling manufacturers of all sizes to benefit from advanced visual inspection without extensive upfront investment. By improving defect detection and process visibility, Lincode influences the broader ecosystem by driving higher manufacturing standards and fostering digital transformation across sectors like automotive, electronics, and consumer goods[1][3][6].
Looking ahead, Lincode is poised to expand its footprint by deepening AI capabilities, broadening industry-specific model libraries, and enhancing integration with emerging factory automation technologies such as robotics and 5G connectivity. Trends such as increasing demand for zero-defect manufacturing, sustainability through waste reduction, and the rise of smart factories will shape Lincode’s growth trajectory. As AI-powered inspection becomes a standard in manufacturing quality control, Lincode’s influence will likely grow, positioning it as a key enabler of the next generation of efficient, data-driven production ecosystems[3][6]. This evolution ties back to its founding mission of making advanced AI inspection accessible and impactful for manufacturers worldwide.
