All applications

Electronics & Solar

Semiconductor Manufacturing

Early access

Wafer fab, etch, deposition, CMP

AI process intelligence for semiconductor wafer fabrication: connecting etch rate, deposition uniformity, CMP planarization, and yield outcomes across the full fab process flow. The analysis methods below are live on the platform today. Fab-specific integrations and wafer-map intelligence are in active development, so this area is early access.

How Niobia AI helps

Built specifically for semiconductor manufacturing.

Recipe-to-Yield Correlation

The same correlation engine used on deposition and etch data elsewhere on the platform, applied to fab process logs. Available today for teams who can export their run data.

SPC and Capability Analysis

Control charts, Cp/Cpk, and gauge R&R on fab measurements. These are core platform methods and are not fab-specific.

Wafer-Map Intelligence (in development)

Spatial defect clustering and wafer-map signature analysis are being built. Not available yet, and we would rather say so than imply otherwise.

How it works

Three steps to your first insight.

01

Start with exported process data

Etch, deposition, and CMP run logs plus metrology results. Direct fab-system connectors are not built yet, so this begins with exports.

02

Run the analysis that already works

Correlation, SPC, capability, and DOE methods are mature on the platform and are chemistry-agnostic.

03

Shape what gets built next

Early-access teams direct the fab-specific roadmap, including wafer-map intelligence and native tool integrations.

Example questions

Ask Niobia AI anything about your process.

"What changed between my last good lot and this one?"
"Which parameter is driving the variance I see in batch 47?"
"Show me the correlation between upstream conditions and final yield."
"Generate a QC summary for this week's production runs."

Ready to try it on your data?

Free to start. No data leaves your environment on enterprise plans.