semiconductor-Leading the way with a new generation of quality management X AI total solutions

Industry Pain Points

High technical difficulty, the success of domestic substitution, quality is the key factor

The customer has a very low tolerance for defects
Fatal defect monitoring and
traceability are difficult
Insufficient ability to analyze massive testing data
Quality data is scattered
and data islands are serious
The quality data of suppliers is easy to tamper
with and the authenticity cannot be guaranteed
Quality management relies on "firefighting"
and the quality cost is high
Low Brand Value, Profits & Bargaining Power

Program Value

Data-driven, real-time early warning

Changing the status quo of quality analysis in the traditional operation mode is a form and lagging, massive real-time data analysis, early warning, prevention of problems, and accurate location of problems, avoiding the recurrence of the same problem, continuously improving quality capabilities, and supporting accurate decision-making.

Quality is the bottom, customer trust

Digital management of the whole life cycle, covering comprehensive quality management scenarios from R&D, manufacturing to after-sales and supply chain, breaking data silos and tracing quality problems back to the source, automatically precipitating and inheriting experience, realizing deep and efficient collaboration across departments and supply chains, greatly improving customer satisfaction, and continuously enhancing enterprise competitiveness.

Brand value-added and profit growth

Move quality management to the front and quality inspection to the left to efficiently ensure that the quality from source to delivery is visible, controllable and predictable. Get rid of low-price involution, reduce costs with excellent quality, win orders, and increase profits, and further consolidate and expand market share.

Chain-level management, global collaboration

The industrial chain-level management efficiently ensures that the quality of the whole process from source to delivery is visible, controllable and predictable, and the product architecture supports the needs of grouping and globalization, meets the needs of enterprise business expansion, and ensures that products maintain consistent high-quality standards around the world.

Related Product Recommendations

Total Quality Management

End to end full industry chain, modular quality management

Xiwicloud DAS

Advanced data analysis, statistical modeling, and experimental design tools

Real-time SPC

Real-time quality data automatic collection and analysis

LIMS

Digitalization of the entire laboratory process supports quality traceability throughout the entire lifecycle, avoiding data silos.

Drawing Analysis - CDI

Zero waiting and manual conversion for data transmission from design to manufacturing drawings

Failure Mode Analysis FMEA

FMEA analysis standardization and process standardization.

Typical Customer Cases

A third-generation semiconductor unicorn company

Business Challenges
Solutions

Shrinking Defect Tolerance: Customer tolerance for defects diminishes annually as devices become more complex and miniaturized.

Escalating Data Management Demands: Business expansion intensified challenges in managing massive data requiring high processing power and adaptability (e.g., detailed statistical analysis of post-epitaxial-layer test data for quality, thickness, crystallinity, and electrical properties).

Unoptimized Quality Costs: Lack of standardized quality controls and insufficient inspection led to high failure costs and ineffective preventive spending, impacting profitability.

Implemented a centralized quality data hub integrating cross-departmental/system data for unified management and analysis.

Enabled real-time monitoring & AI-powered analytics for rapid anomaly/trend detection, enabling data-driven quality decisions.

Automated and intelligent quality workflows, including auto-generation of inspection specs, SIPs, and quality reports.

Deployed self-learning models using historical data and real-time feedback to continuously enhance accuracy and efficiency.