Semiconductors
Detect material-state drift that affects yield, interface stability, thermal pathways, and downstream reliability.
Real-time material-state intelligence
See defects before they form.
Detect hidden material-state drift in real time, advance your manufacturing by reducing failed batches, quality escapes, and late-stage reliability failures.
Problem framing
Stable signals.
Stable signals.
Yet materials still fail.
Platform
A real-time material-state layer for manufacturing.
Nacre 将生产过程中已有的工艺数据转化为对材料真实状态的实时判断，帮助企业识别仅靠传统工艺参数和质量检测难以及时发现的材料变化。
Process signals
Material state
Actions
Applications
Applications.
Industries
Where hidden material drift creates downstream risk.
Industrial polymers
Track formulation and processing shifts that affect stability, compatibility, mechanical performance, and batch consistency.
Biofunctional polymers
Map solvent, self-assembly, and surface-state changes that determine whether functional films bind, respond, or fail.
Workflow
From controlled study to production monitoring.
Technical review
1–2 days
Define material system, process signals, failure modes, and QA workflow.
Controlled study
1–2 weeks
Run a bounded study using existing data, targeted experiments, or a pilot process.
Model validation
~1 month
Validate the material-state layer against customer-specific outcomes.
Workflow integration
1–2 months
Connect outputs to dashboards, lab workflows, MES, QMS, or operator review.
Production monitoring
Ongoing
Track drift, batch risk, confidence, and performance over time.
Technical review
Your process already has the signals. We show you what they mean.
如果您的生产过程中存在难以解释的批次波动、质量异常、材料失效或工艺稳定但最终产品仍然出现缺陷的问题，可以向我们提交具体工艺场景。
我们将从材料体系、生产数据、失效模式和现有质量控制流程出发，评估实时材料状态智能是否能够应用于您的生产过程。