Arithmos is a vendor-agnostic foundation model for semiconductor and advanced manufacturing — learning process-invariant signatures across multi-vendor equipment fleets so a single platform works fab-wide, without months of retraining per tool.
Today's process-monitoring AI is trained on one vendor's equipment, in one data format, for one task. Real fabs — especially mid-tier domestic fabs central to national manufacturing priorities — run mixed OEM fleets across multiple tool generations. Every tool change resets the model. Every new fab rebuilds from scratch.
Today: Each vendor's AI covers only its own tools.
Separate models, separate data formats. A new tool generation means retraining, and the 2009 tool gets no AI at all.
With Arithmos: One model for every tool, across vendors and generations.
One pre-trained model reads the sensor data each tool already reports (SECS/GEM, historians). A new tool is a few-shot adaptation, not a new ML project.
Three stages. One pre-trained backbone. Deployed at the edge or centrally, integrated over your existing MES and SECS/GEM pipelines — no equipment rip-and-replace.
Each capability runs off the same pre-trained foundation — so adding a new application is configuration, not a new ML project.
Validated through multi-year engagements with partners across regulated, high-stakes process manufacturing.
Whether you run a fab and want to pilot the platform, or you invest in deeptech and want to see the round — we'd like to talk.
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