TAIPEI, April 16, 2026 — As smart manufacturing becomes a core driver of industrial transformation, PCB and electronics-assembly companies are generating unprecedented volumes of inspection images, system logs, and process parameters. Dataram IDM provides a unified way to collect, store, govern, and use that data throughout its lifecycle.
Industry context and core challenges
A top-tier PCB manufacturer can deploy AI vision inspection throughout incoming quality control, SMT placement, electrical test, and reliability testing. At 0.01 mm inspection precision, these systems may generate tens of billions of records and tens of petabytes of data.
Retention requirements can range from six months to 15 years. Yet inspection data is often isolated by factory and equipment, high-resolution images drive storage cost upward, and long-term audit requirements make manual governance increasingly risky.
Dataram IDM creates one inspection-data platform
Dataram IDM consolidates inspection data from different lines and equipment brands into a centrally governed platform. Quality teams can search by date, equipment ID, serial number, and other business tags, replacing days of manual traceability work with seconds-scale precision.
Industrial-image compression can reduce capacity consumption while preserving the details required for review. Automated hot, warm, and cold tiering, combined with tape archiving, aligns media cost with access frequency and supports a more sustainable long-term TCO model.
From quality traceability to quality prediction
Backup, disaster recovery, long-term protection, and policy controls help manufacturers meet demanding customer and industry requirements. More importantly, unified data creates a foundation for big-data analytics, preventive maintenance, process improvement, and AI-assisted quality prediction.
Dataram AI helps factories transform complex production data into accessible, governed assets. Integrated analytics and operational dashboards make inspection history easier to understand and act on, supporting yield improvement and process optimization.
