The Manufacturing Challenge
Modern manufacturing faces a perfect storm of challenges threatening profitability and growth
Manual Processes
Repetitive Strain
Material Waste
Labor Shortage
Multiple QA Gates
Surging Demand
Manual Processes
Labor-intensive inspection and delicate operations demand extreme accuracy where human fatigue leads to costly errors.
Multiple QA Gates
Products must pass rigorous checkpoints at every stage. A single defect discovered late means irrecoverable losses.
Repetitive Strain
Workers face physical and mental toll from attention-intensive tasks spanning entire shifts, leading to declining accuracy.
Surging Demand
Global production demands intensify while product complexity multiplies, pushing traditional operations to their breaking point.
Skilled Labor Shortage
Acute shortage of personnel capable of performing specialized tasks, with high turnover from repetitive work.
Material Waste
Late-stage defect discovery doesn't just halt progress—it represents total loss of materials, labor, and machine time.
iWave ZeroDefects || Vision Intelligence
Advanced vision agent achieves <0.1% defect escape rate with <1% overkill—without reliance on large defect datasets. Detects microscopic flaws at production speed using domain-specific computer vision trained on semiconductor manufacturing nuances.
iWave Autopilot || Autonomous Operations
Fully autonomize your manufacturing tools—non-intrusively. Handles operation, monitoring, intervention, tuning, and configuration automatically, adapting to dynamic workflows without disrupting existing systems.
iWave Insights || Process Optimization
AI-driven knowledge discovery analyzes production data to identify patterns, optimize processes, and reduce errors across your entire production line. Transforms data into actionable intelligence for continuous improvement.
InnoConnect + RCM || Unified Platform
Centralized digital manufacturing platform unifying all iWave agents—ZeroDefects, Autopilot, Insights, and Health—into a single point of control. From machine control to model training and data governance, manage your entire operation holistically.
Operating in
7
Countries
Trusted by
50+
Clients Worldwide
Achieving
<0.1%
Judgment Escape Rate
Driving
99.8%
Automation Accuracy
Boosting
Up to 2X
Operational Efficiency
Industry Case Studies
Samsung Electronics
Semiconductor
Multi-stage machine learning analyzing visual data + electronic test parameters, real-time defect classification
Aerospace Component Manufacturer
Aerospace
Real-time CNN-based defect detection before integration phase, automated inspection of wing tips and control surfaces, reduced rework and improved time/cost optimization
Leading Battery Manufacturer
Battery Manufacturing
AI-driven inline quality control with deep learning for microfastener scratch detection, 97% defect detection accuracy, early prevention saving millions
Micron Technology
Semiconductor
AI image analytics detecting defects at microscopic level, acoustic sensors for predictive maintenance, reduced downtime and improved worker safety
Let’s Build the
Future of Manufacturing
Discover solutions for today and tomorrow’s manufacturing.
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