The hard part is not another chart. The hard part is turning a lot investigation into something an engineering lead, quality owner, and operations team can all review without the story drifting.
Before Stratum, I worked on Spark-based yield analysis tooling at PDF Solutions and across distributed data and product systems. Stratum is the tool I wanted when the analysis had to survive past one engineer and one session.
The workflow I care about starts with STDF lot data and ends with a decision someone is willing to sign. That means stable lot history, exact what-if review, notebook lineage, and exportable artifacts instead of screenshots and side channels.
I have built yield-analysis software, distributed data platforms, and decision-support products. The yield background matters because Stratum is opinionated about actual review workflows, not generic analytics dashboards.
The current alpha is focused on a small number of teams that want a tighter path from lot investigation to reviewed yield decisions. The goal is to make the core loop hard to outgrow, not to fake breadth.
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