We develop the process.
Not just run it.

Anyone can run a recipe.
The hard part is developing one.

Most shops can bond a die or reflow a bump. The value is getting a new process to work — fast, repeatable, and documented — before it costs you a tapeout.

We treat process development as an engineering problem backed by data, not trial and error. Define the objective, build a test vehicle, run the DOE, validate with real metrology, and document what we learned.

We aggregate process, inspection, metrology, and test data across every build, and use AI as a decision-support layer to surface drift and correlations faster than eyeballing ever could.

AI narrows the search. An engineer owns the call — every process adjustment stays traceable and tied to manufacturability and reliability.

• 01Aggregate process, inspection, metrology & test data
• 02Trend analysis to catch drift and variation early
• 03Correlate process parameters with yield and defect modes
• 04DOE planning, refinement, and prioritization
• 05Faster root-cause and failure-mode identification

Fewer trial-and-error iterations · faster convergence on stable process windows · lower cost and schedule risk · higher confidence before production-intent.

Hybrid Agile cycles with engineering phase gates.

Rapid learning with traceability and manufacturability discipline — so early risk gets retired before scale-up, not discovered after it.