Foundation AI · Process Intelligence

One model for every tool in the fab.

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.

Book a Pilot See the platform
Cross-vendor transfer Zero-shot deployment SECS/GEM native Edge-ready
Platform Architecture · Fab-Wide Process Intelligence
Sensor · Log · Metrology streams
Alerts · Decisions · Control actions
Outcomes

Engineered for measurable operational impact.

False Alarm Reduction
0%
Cross-modal fusion of sensor streams with engineering logs dramatically reduces nuisance alerts — the #1 friction point cited by fab process engineers.
Time-to-Deploy on New Tools
0%
Zero- and few-shot transfer across unseen OEM platforms eliminates the months of retraining required by narrow, single-vendor models.
Engineering Coverage Expansion
0×
One process engineer monitors an entire multi-vendor fleet — directly addressing the talent shortage at mid-tier domestic fabs.
Targets derived from partner benchmark protocols · production validation in progress
The Problem

AI for manufacturing is narrow — but fabs are heterogeneous.

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.

3–9mo
to retrain a narrow model per new tool type
60%+
of SPC alerts classified as false by engineers
$1M+
unplanned downtime cost per fab-day
Vendor A locked
Vendor B locked
Vendor C locked
Legacy unsupported
↓ unified process intelligence ↓
Arithmos AI one model · all tools
The Platform

A unified foundation for every tool, stream, and site.

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.

01 Ingest
Unify heterogeneous streams.
SECS/GEM, MES, time-series historians, and engineering logs flow into a single vendor-agnostic pipeline. High-frequency sensor data is tokenized into a unified representation.
SECS/GEM · 412 channels · 50ms
OSI-Pi · 218 tags · 1s
MES · batch + lot context
Logs · NLP-parsed alerts
02 Model
Pre-trained intelligence backbone.
A multimodal foundation model learns process-invariant signatures — drift trajectories, fault precursors, regime transitions — that transfer across OEM platforms, fabs, and tool generations with minimal labeled data.
Adaptive tokenization → 128d
Cross-modal attention · dual-stream
Fine-tune · few-shot adapt
Inference · edge · 42ms
03 Deploy
Actionable, explainable alerts.
Fault predictions, virtual metrology, and drift alerts are delivered in the language of process engineers — with cited evidence traced back to the underlying signal window, not black-box scores.
Alert · drift precursor · ch-2
VM · CD est. 14.2 nm ±0.3
PHM · RUL 48h · heater
Evidence · 3 log refs · window
Applications

One backbone. Many high-value use cases.

Each capability runs off the same pre-trained foundation — so adding a new application is configuration, not a new ML project.

Fault Detection & Classification
Catch fault precursors before the tool trips. Interpretable alerts tied to the exact signal window and referenced log history.
reduce unplanned downtime · cut false alerts
Virtual Metrology
Infer hard-to-measure quality metrics — CD, thickness, uniformity — in near real-time from process sensor data, without waiting for downstream measurement.
in-line quality inference · reduce sampling burden
Drift & Regime Monitoring
Continuous detection of distribution shifts and anomalous operating episodes across tools, chambers, and sites — unified under one analytic framework.
cross-site comparability · early drift capture
Fleet-Wide Condition Monitoring
PHM across heterogeneous tool fleets. Remaining-useful-life estimates and condition-based maintenance — from a single model that understands every asset.
unified PHM · maintenance scheduling gains
Industries Served

Built for the hardest process environments.

Validated through multi-year engagements with partners across regulated, high-stakes process manufacturing.

Primary Market
Semiconductor
Mid-tier domestic fabs. Etch, deposition, metrology, photolithography process tooling.
Expansion
Data Storage
HDD and solid-state fab processes. Precision surface engineering and coating processes.
Adjacent
Automotive
Battery manufacturing, powertrain machining, body-in-white quality systems.
Adjacent
CPG & Chemical
Continuous-process manufacturing with high sensor density and strict quality spec.
Get in touch

The next decade of manufacturing intelligence won't be vendor-locked.

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.

Book a pilot Request investor materials
contact@arithmosai.com · Boston, MA