Zabidou provides an AI‑driven computer vision platform that integrates directly into industrial robotics to deliver real‑time, inline quality assurance at manufacturing scale.
Funding
Funding not disclosed
Founders
Product
Problem
Manufacturers rely on manual inspections or slow, offline vision systems to verify component placement, surface quality, and dimensional compliance, leading to production delays, missed defects, and limited traceability of each unit.
Solution
Zabidou offers an AI‑driven computer vision platform that integrates directly into industrial robotics and production lines to perform real‑time, inline quality assurance. The system continuously monitors component positioning, detects surface anomalies, measures critical dimensions, and compares 3D as‑built parts against design intent without stopping the line. By automating these checks, it captures unit‑level digital provenance, providing a complete audit trail for operators, financiers, and customers. The platform is built for industrial scale, supporting high‑speed manufacturing environments while maintaining accuracy comparable to offline inspection methods.
Target Audience
Primary customers are manufacturers of advanced industrial products that use robotic assembly lines, such as automotive, aerospace, electronics, and heavy equipment producers seeking automated, high‑throughput quality assurance.
Features
- Real‑time verification of component placement before and during assembly using AI vision models
- Inline detection of surface defects, voids, and irregularities at production line speeds
- Precise key dimension measurement and verification against golden samples or CAD drawings
- Full 3D as‑built versus as‑planned comparison for dimensional compliance without line stoppage
- Automatic generation of unit‑level digital provenance delivering a complete audit history
- Seamless integration with existing robotic cells and manufacturing execution systems