AI
For Semiconductor
Future
- Improve Yield, Detect Manufacturing Anomalies, and Optimize Test Costs.
AI-Powered Semiconductor Test Data Analysis
About Us
Innovating Semiconductor Analysis Processes with AI Technology
Through innovation in semiconductor analysis processes using AI technology, we optimize every stage, from design and manufacturing to quality control, and aim to improve efficiency and accuracy across the industry.
In particular, by reducing defective products and lowering costs in each process, we support the creation of environmentally conscious and sustainable manufacturing systems.
For manufacturing issues that conventional methods could not fully capture, AI analysis visualizes and analyzes design, manufacturing, and quality control across processes. In an increasingly complex and specialized semiconductor industry, we connect fragmented processes and enable meaningful use of data and solution delivery.
As a partner, we contribute to more efficient, higher-quality manufacturing.
Problem
AI Solutions for Semiconductor Manufacturing Challenges
Semiconductor manufacturers face growing challenges, including massive volumes of test data, low yield, rising development costs, and longer analysis cycles caused by trial-and-error processes.
In addition, increasing process specialization often leads to fragmented information sharing across manufacturing teams, making it difficult to identify defects, optimize processes, and improve product quality efficiently.
KAI GIKEN provides AI-powered semiconductor test data analytics solutions for yield improvement, anomaly detection, wafer analysis, and manufacturing optimization.
Low Yield
In semiconductor manufacturing, yield rates are often in the 50โ80% range, and defect rates tend to be higher especially when advanced processes are used.
Reducing these defects is a major challenge, affecting manufacturing costs and delivery schedules and limiting efficiency across the industry.
Time and Cost of Trial and Error
Manufacturing sites commonly repeat tests while changing conditions such as temperature, voltage, and frequency one by one.
This process requires significant time and cost, making improvement inefficient and optimization of manufacturing processes difficult.
Insufficient Information Sharing Due to Specialization
In the semiconductor industry, design and manufacturing are often separated, and sufficient information is not always shared between design companies and manufacturing partners.
As a result, analysis is often performed only within individual processes, preventing overall optimization and limiting productivity improvements across the industry.
We support optimization of semiconductor manufacturing processes through advanced AI analysis technologies.
We resolve long-standing issues such as partial analysis and insufficient information sharing, identify defect factors early, reduce manufacturing costs, shorten lead times, improve quality, and support sustainable manufacturing.
Solution.01
Improving Accuracy Through AI Data Analysis
Using AI to analyze large volumes of manufacturing data in real time, we quickly identify issues in the manufacturing process and optimize all stages from design to quality control.
Solution.02
Efficient Improvement Without Trial and Error
Instead of conventional trial-and-error methods, AI-based predictive analysis and simulation quickly identify optimal manufacturing conditions, greatly reducing test effort and cost and enabling efficient production.
Solution.03
Enhancing Information Sharing Between Design and Manufacturing
We visualize design and manufacturing processes across boundaries and strengthen information sharing between them. This integrates analysis across processes, enables total optimization, resolves issues caused by specialization, and improves industry-wide efficiency.
Solution.04
Building Manufacturing Systems for the Future
Our solutions use AI technology to fundamentally innovate manufacturing sites in the semiconductor industry and support the creation of sustainable, highly efficient manufacturing systems.
Our Principles
Our Values
01
Innovation and Challenge
We are never satisfied with the status quo and continually explore new technologies and approaches.
We are not afraid to take on the unknown and turn change into opportunity.
02
Quality First
We place customer satisfaction and peace of mind first, and through sincere manufacturing
and attentive service, we continue to be a company trusted over the long term.
03
Collaboration and Co-Creation
We build trusted relationships with customers and partners and share knowledge and aspirations.
By learning together, we create new value.
04
Ethics and Integrity
We value transparent actions and sincere conduct, and as a trusted organization, we fulfill our social responsibilities
with commitment.05
Sustainability
We prioritize value that should remain for the future over short-term profit.
By balancing the environment, society, and economy, we build a sustainable future.
Major Business Partners
Renesas Electronics Corporation
Teradyne Inc.
Privatech Inc.
Contact Us
Please feel free to contact us with any questions or requests regarding our AI analysis technologies.