Manufacturing should never have to choose between quality and productivity.

For decades, factories faced the same 
trade-offs: quality control meant slower production, while faster speeds meant more defects. Our founders witnessed common problems: high rejection rates, manual inspections, and outdated vision systems. Companies tried to patch together hardware from one vendor, AI from another, and integration from a third, only to end up with complex, disconnected systems that didn’t work well together.

To address this challenge, we developed Kompass - an AI-powered vision system with modular hardware that not only detects defects but actively prevents faulty products from moving downstream. The system's success grew through partnerships with customers across industries, allowing us to create domain-optimized AI models that deliver high accuracy from day one while helping factories improve their processes and reduce costs.

A turning point came when, during a P&G site visit, a conversation sparked a new idea - could Vision AI optimize warehouse inventory, too? That's when Jidoka stepped beyond the factory floor, and Nagare was born. At the same time, an automotive OEM using Kompass posed another challenge: Could AI guide operators during assembly to prevent errors before they happened? This led to Nagare’s evolution into an intelligent process optimization system - ensuring zero-defect production, from factory floors to warehouses.

Today, Jidoka is the only company offering both Cognitive Product Inspection and Intelligent Process Optimization - all under one roof. With turnkey AI-powered solutions, built on domain-optimized models, we help manufacturers and logistics providers achieve built-in quality, real-time efficiency, and seamless operations—without complexity.
With Jidoka, you don't have to choose between efficiency and precision - you get both, at scale.