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Park Systems Corp. — AI supply-chain exposure

Park Systems Corp. · 140860.KQ· Chips· South Korea· $1B mkt cap
The quick read

The model reads Park Systems Corp. primarily as a supplier in Chips.

21
Chain weight /100
1
Parts exposed
1
Layers spanned
5
Close peers
Park Systems Corp. across the stack
Chips

The structural read · model-generated

The model reads Park Systems Corp. primarily as a supplier in Chips.

In depth · editorial + model · written 2026-07-13

Park Systems is the Korean leader in atomic force microscopy, a technique that maps a surface at the atomic scale by dragging a fine tip across it. Its automated systems perform roughness and CMP-process metrology inside advanced logic, DRAM and HBM fabs, measuring without damaging whether each polished layer is flat and clean enough to build on. The model ties it to yield: as features shrink and stacks grow taller, catching nanoscale defects early is what separates a productive wafer from a scrapped one.

Chain footprint by layer

Chips
100%

How it participates

Supplier
100%

Every part Park Systems Corp. touches

Critical materials it leans on

PhotoresistElectronic-grade hydrogen peroxideHydrofluoric acid / anhydrous HFHigh-purity quartzHelium

Geographic concentration

MalaysiaBelgium

Frequently asked

What is Park Systems Corp.'s role in the AI supply chain?

The model reads Park Systems Corp. primarily as a supplier in Chips.

Which parts of the AI value chain is Park Systems Corp. exposed to?

Park Systems Corp. is mapped to 1 part of the AI value chain, most strongly Yield. It sits primarily in the Chips layer as a supplier.

Does Park Systems Corp. own an AI bottleneck?

Not in the current model — Park Systems Corp. is exposed to constrained parts but sits downstream of them rather than producing them.

Who are Park Systems Corp.'s closest peers by AI-chain position?

By shared chain dependencies: Semitronix (Hangzhou Guangli Microelectronics), proteanTecs, PDF Solutions, Hitachi High-Tech Corporation.

Go live on Park Systems Corp.

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model v0.7.0 · research, not advice

Chain analytics are illustrative, order-of-magnitude estimates from our model of the AI value chain — not investment advice. Market cap sourced 2026-07-04.

as of 2026-07-17Medium confidence model v0.7.0
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