Browse Our Case Studies
Discover how industry leaders are using Jidoka to drive productivity and efficiency - from factory floors to warehouses.
Using Jidoka’s AI-powered Kompass vision inspection system, Hindustan Pencils automated wooden slat quality control reducing manual inspection escapes, eliminating operator variability and enabling high-speed inspection at 125 parts per minute.
Using Jidoka’s AI-powered Nagare system, APA Engineering digitized kitting with real-time sequence and quantity verification—achieving zero-error packing, 35% higher productivity, full traceability and ROI in under one year.
Using Jidoka’s AI-driven Eagle-Eye vision inspection system, Avon Seals automated quality checks for carbon and ceramic seals across 28+ variants — boosting defect detection by 40% and enabling 120 PPM dual-face inspection with full traceability.
Jidoka’s AI vision system detects critical visual defects in bevel gears, ensuring zero market escapes, reducing costs and providing reliable inspection with 99.5% accuracy.
Using Jidoka’s AI-Powered smart vision inspection infrastructure, NSK Bearings automated 360° bearing inspection—reducing false positives, improving accuracy, and enabling high-speed inspection across 18 SKUs within a single compact station.
Using Jidoka’s AiI Visual Inspection Systems, Shriji automated defect detection for bottle caps on its wad assembly line—achieving real-time inspection speeds of 800+ parts per minute, reducing scrap , rework costs by over $10,000 annually.
In a PoC with a European wood processor, Jidoka’s AI-powered inspection achieved 99.8% accuracy at 1,200 parts/min, detecting cracks, knots, burns, and grain flaws — marking a breakthrough in wood and furniture component quality control.
Using Kompass, Marico automated printed bottle inspection—eliminating market escapes, cutting costs, and achieving reliable inspection at 120 bottles per minute with 99.7% real-time accuracy.
By deploying Jidoka’s AI-powered vision inspection system, Nestlé automated taste maker sachet detection in Maggi multipacks and eliminated consumer complaints—achieving 100% detection accuracy, 0% false rejections, and improved overall productivity.
By deploying Jidoka’s Kompass and Tigris systems, Britannia automated its high-speed biscuit inspection process (12,000+ biscuits per minute) and radically improved defect detection accuracy—reducing false positives and boosting overall efficiency.
By deploying Jidoka’s AI-powered visual inspection systems, Maruti automated and scaled its engine bore inspection process, achieving 100% inspection coverage, over 99.5% defect detection accuracy and a 60% reduction in defect rates.
By deploying Jidoka’s AI-driven inspection systems, Diageo streamlined its label verification(LBI/Fill level) process at 300 bottles per minute, ensuring accurate text, proper orientation, and accurate label - while minimizing manual oversight.


