AI-Driven Manufacturing Intelligence for
Electronics
Scale Expert Knowledge—Across All Lines.
Electronics manufacturers face mounting pressure from rapidly evolving product complexity, shrinking component sizes, and accelerating time-to-market demands. Traditional quality systems and dashboards can’t keep up. They don’t show teams what’s wrong, why it’s happening, or what to do about it.
Arch changes that.
Our AI-native platform delivers real-time, expert-level decision support without replacing your existing systems. Surface issues before they impact yield. Get specific guidance on process optimization. Scale your best engineers’ expertise across every shift with precision and speed.
Why ARCH AI Matters
Built for Today's Electronics Factory Floor

Yield + Quality Ready
Adapt to evolving test requirements and component-driven yield complexity.
Micro-Defect Detection
Spot process drift and defects early before they affect throughput.
Labor Resilience
Scale expert-level decision-making across shifts without adding headcount.
Compliance Confidence
Support IPC standards and traceability requirements to reduce risk, enhance quality, and drive continuous improvement.
Line Standardization
Unify processes across lines with AI-enabled work instruction optimization.
Use Cases We Power

AOI + Process Monitoring
Detect drift in real-time to prevent out-of-spec production.

Closed-Loop CAPA
Automatically record issues, track root causes, and trigger corrective actions.

Throughput Escalation
Auto-send downtime alerts, escalations to the right teams, based upon cycle classifications.

SMT + Component Placement
Identify and risk-assess modes using live production data.
Case Study Spotlight:
How a Leading Automotive Electronics Manufacturer Scaled Downtime Reduction
HIGHLIGHTS:
%
$33,000
Annualized hard savings per line


Ready to Scale Your Best Shift, Every Shift?
Arch delivers the insights, speed, and consistency manufacturers need to stay ahead of what’s next.
Let’s talk about how we can help your factory teams do more with less.