Innowave Tech Pte Ltd

iWave Autopilot is an agentic AI platform that autonomously manages factory equipments by making real-time decisions and executing precise adjustments for equipment tuning or recipe management. 

It connects seamlessly to existing equipment, enhances process stability, reduces downtime, and minimizes manual intervention. It delivers continuous optimization across operations by driving higher efficiency, consistency, and output quality without disrupting production.

iWave Zero Defects is an AI-driven visual inspection and defect-classification platform designed to enhance manufacturing quality. It captures, detects, and categorizes defects in real time, enabling faster root-cause analysis and reducing reliance on manual inspection. By integrating seamlessly with existing inspection tools, it improves accuracy, shortens feedback loops, and supports continuous process improvement across the production line.

Advanced Macro + Micro Defects Inspection 
This series combines high-resolution optics with deep-learning vision models to detect both macro and micro defects in a single unified workflow. It captures subtle surface anomalies, dimensional variations, and pattern irregularities with exceptional accuracy. Multi-spectrum imaging enhances feature visibility, while adaptive AI algorithms continuously improve detection performance over time. Designed for high-throughput environments, the system delivers fast cycle times without compromising precision. 

Fuel Cell Plate Defects Inspection 
Purpose-built for energy and hydrogen manufacturing, this inspection series targets the intricate surface structures of fuel cell plates. AI-driven image analysis identifies cracks, pinholes, channel deformations, coating issues, and foreign material with high repeatability. This technology uses both dark and light imaging to capture defects which are invisible to the human eyes. The system supports inline or offline inspection, enabling real-time quality control and traceability. With automated classification and analytics, manufacturers gain deeper insight into defect trends, improving yield and process stability. It strengthens reliability in fuel cell production where precision and durability are critical.

Large Scale 3D Measurement & Sub-Micron Profiling 
This series delivers high-accuracy 3D measurement across large components while maintaining sub-micron precision. Using advanced structured light, laser triangulation, or interferometry, the system captures dense point-cloud data for comprehensive dimensional analysis. It measures warpage, flatness, height variation, and complex geometries with consistent repeatability. AI-enhanced processing accelerates reconstruction and anomaly detection, enabling rapid feedback to manufacturing processes. Suitable for batteries, panels, semiconductor modules, and precision-machined parts, the platform supports both inline and laboratory environments. Its scalable architecture and powerful analytics streamline quality assurance for industries demanding ultra-tight tolerances.

 

Inoglas transforms industrial procedures into immersive AR workflows, overlaying step-by-step instructions directly onto the user’s workspace. Visual cues including videos, images, and symbols make tasks easier to follow and simple to update. Integrated Microsoft Teams support enables real-time collaboration, remote guidance, and faster troubleshooting. Powered by a small-sample learning algorithm, Innoglas quickly adapts to new environments and identifies objects with minimal training data. It brings training, support, and execution together in one intuitive AR platform, improving efficiency and operational consistency.