Semiconductor Equipment
Make equipment software self-controlled, and lay a solid data foundation for yield analysis and predictive maintenance.
Industry pain points
- Equipment software depends on imports or outsourcing; iteration is controlled by others and the demand for self-control is strong.
- Equipment protocols are proprietary and data cannot be collected; yield analysis lacks a data foundation.
- Equipment status is a black box after delivery — predictive maintenance has no starting point.
Our solution
- Custom equipment host PC software: C#/WPF modern architecture (MVVM layering, configuration-based design), selected per equipment and scenario, not locking customers into a technology route; multilingual interface capability.
- Line data collection and MES: engineering experience in multi-line data collection — equipment status, process parameters and alarm events unified into the database, grounding yield analysis.
- Condition diagnosis integration: integration experience with the ifm VSE vibration diagnosis toolchain, IO-Link vibration sensors (built-in FFT); a predictive maintenance HMI has been delivered.
- IoT gateway cloud connectivity: multi-brand gateway integration, with store-and-forward keeping the data chain intact.
Representative projects
- A semiconductor equipment maker: epitaxy equipment host PC software (C#/WPF) delivered in volume.
- An electronics line company: software and data collection for multiple lines including SCR, YC and color-dissolving lines.
- A leading optical fiber company: production line HMI with WPF and Rockwell PLC, plus predictive maintenance vibration screens.
Capability extensions
- Edge AI gateways (reserve and pilot direction), equipment data as a service, predictive maintenance platforms.
Buying scenarios and conversion paths
Target roles
- · Equipment R&D lead
- · IT manager
- · Automation lead
Trigger events
- · Equipment software supply cut off or outsourced quality out of control
- · Localization and self-control requirements
- · Equipment status a black box after delivery — predictive maintenance has no starting point
Product pilot path
When your product requirements are already clear: start with a 15-minute demo and a small-scale pilot — you can begin with an equipment host PC bundle.
Book a Product DemoFull project path
When you only have an industry-level question: start with an on-site diagnosis and a phased proposal. Equipment host PC bundling, line data collection and IoT cloud connectivity, built in phases.
Request an On-site DiagnosisSelf-controlled equipment software — start with one host PC bundle.
Tell us about your industry and site conditions to get a diagnosis and phased solution proposal.
Request an On-site Diagnosis