The lab result is the start of the evidence chain
A strong lab result matters. It can show that the physics is real, that the device can work, or that a process step has merit.
It is not the same as a production ramp.
Between the lab and the customer sits process control, metrology, test coverage, yield learning, reliability, packaging, supply chain, documentation, and qualification. Any one of those can change the commercial answer.
What has to become repeatable
The question is not whether the team can reproduce the result once. The question is what has to be controlled so the result becomes predictable.
What are the critical process windows? What measurement system proves the result? What variation is acceptable? What happens across lots, tools, operators, packages, and environments? What does the customer require before adoption?
The capital implication
Lab-to-ramp risk is a capital problem. It determines how much money is needed, when it is needed, what proof point should unlock the next tranche, and whether the company is funding productization or just funding more technical exploration.
Positive signals are not the same as a fully funded productization path. The model has to show what evidence replaces each planning proxy.
TIGRE lens
TIGRE maps the chain between lab evidence and production confidence. The goal is a clear view of what must hold before the next commitment is defensible.