The market is moving
Chipmakers have committed to fabs that run unattended by 2030 — and every tool inside them will have to understand its own health.
Predictive maintenance your equipment carries into every customer site — no labeled failure histories, manually tuned thresholds, or per-failure model engineering, and no data leaving the facility.
The industry's stated direction is fabs that run unattended by 2030. Early unmanned production lines are already reporting equipment failures cut by roughly 90% and overall equipment effectiveness more than doubled. Fabs are converting that experience into procurement requirements: a tool that cannot report and reason about its own health becomes a tool that needs a person standing next to it.
Agent Athena™ is how your equipment carries that capability — without you building an AI organization to do it.
Emergency dispatches become scheduled visits. Unplanned warranty events become planned work.
Autonomous predictive maintenance becomes a capability of your equipment — offered to your customers in the form you choose.
With customer consent, reliability insight from the field without breaching the data wall.
A maintenance event that runs itself: detected, diagnosed, ordered, staged, scheduled — one workflow, on one platform, inside the facility.
Health scored continuously from the tool's own sensors; anomaly raised at the earliest physically observable onset
Failure mode, urgency, recommended action, with per-sensor attribution and a full reasoning trace
Work order raised in the maintenance system (SAP PM, Maximo), duplicate-safe
Parts reserved and kitted against the predicted window
Tool time booked into the maintenance window that fits
Every deployment begins with detect and diagnose in recommend-only mode. The execution stages follow as you raise autonomy — per tool, per action, at the pace your processes allow. Every step is written to an audit log.
Warning arrives at the earliest physically observable onset — days to weeks depending on the failure mode.
| In | Consumes the SECS/GEM and Interface A (EDA) streams your collection systems already gather; OPC UA, historians, or file export elsewhere. A POC needs only historical files. |
| Out | Recommendations to your service workflow. At higher autonomy, work orders into the customer's maintenance system (SAP PM, Maximo) — duplicate-safe. |
Your tools run air-gapped. So does Agent Athena™.
| Fully local AI | Sensing and reasoning on one on-site GPU server. No cloud calls. |
| Offline updates | Signed bundles. No phone-home, no license server. |
| Data stays put | Models train on-site, per tool. |
| Isolated tenants | Role-based access, full audit trail. |
Air-gap isn't a limitation we tolerate. It's the deployment we engineered for.
Trained on early healthy operation only, then scored a month of history blind against a known ion-source failure. Caught it ~4 days ahead, at the earliest onset visible in the tool's real signals.
AUROC 0.851 · ~12% FPR
Surface-quality signatures across a high-volume cleaning operation, scored without failure labels. Identified 1,500+ high-risk parts for review before they reached the next process step.
AUROC 0.885
A controlled benchmark with modeled fault types injected, used to verify the method against known answers. All modeled fault types detected.
Method verification, not a production result
Trained on the network's early normal operation, then run forward blind. Flagged a coherent regime change days before it was operationally obvious — no labels available, so reported as detection only.
Unsupervised detection
Power-quality and consumption data with no labels of any kind. The method separated load types on its own, characterized seasonal behavior, and isolated anomalous days.
Zero-label categorization and anomaly detection
Eleven engineering scenarios scored across four local language models for structured-output correctness and action quality. A permissively-licensed model was selected on the evidence and runs fully offline.
Selected model: 0.836 overall
We label every result by what it does and does not establish.
Embedded or white-label · bundled through your channel · a service tier for your install base. Your decision, shaped together.