Your equipment is telling you something. DataFabrica™ AI listens — with 15 autonomous AI agents and 32 built-in CEP (Complex Event Processing) patterns that detect failures before they cost you production hours, yield, or revenue.
Agent-orchestrated data pipelines that automatically cleanse, normalize, and enrich equipment telemetry data. Cross device protocols conversion supporting major industrial protocols including OPC UA, MQTT, SECS/GEM, Redfish, SNMP, and OpenTelemetry.
32 built-in Complex Event Processing (CEP) patterns detect temporal failure sequences across semiconductor fabrication, data center storage, server farm, and powergrid network — catching what threshold alerts and statistical anomaly detection miss. Custom CEP patterns can be created and updated on the fly.
Multivariate anomaly detection across correlated sensor streams. SPC, APC, Z-score, and control chart analysis powered by AI agents that understand equipment structure and context — not just raw numbers.
Traditional monitoring answers "Is this value unusual right now?" CEP answers a fundamentally different question: "Did this specific sequence of events happen in this order within this timeframe?"
| Approach | What It Detects | What It Misses |
|---|---|---|
| Static Thresholds | Simple limit violations | Gradual drift, temporal patterns, cascading failures |
| Z-Score | Individual outlier readings | Sequences where each point is normal but the trend is dangerous |
| CEP (DataFabrica™) | Temporal patterns, cascades, oscillations, state violations | Novel failure modes never seen before (handled by ML layer) |
Example: A Z-score of 0.5 (perfectly normal) at five consecutive timestamps where each reading is higher than the previous — Z-score sees nothing. CEP detects thermal drift.
Syntrixia® DataFabrica™ ships with 32 pre-built CEP pattern library that detect equipment failures before they impact operations — ready to deploy on day one with no custom rule development with capability to create new patterns as needed.
12 patterns — Predict equipment maintenance windows, prevent yield loss, and eliminate costly wafer scrap before process excursions occur.
10 patterns — Predict disk and SSD failures, prevent data loss, and maintain storage SLAs through proactive degradation detection.
10 patterns — Predict component failures, prevent unplanned outages, and detect fleet-wide anomalies from firmware regressions to cooling failures.
6 patterns — Predict solar cell degradation, prevent power loss, and detect grid-wide anomalies from weather conditions to equipment failures.
Proactive detection for lithography, etch, deposition, and metrology equipment — protecting multi-million-dollar tools and preventing yield-killing excursions.
| No | CEP Pattern |
|---|---|
| 1 | EUV Source Power Degradation |
| 2 | Overlay Drift Thermal Creep |
| 3 | Reticle Contamination Progression |
| 4 | Plasma Etch Chamber Seasoning Drift |
| 5 | RF Power Reflection Spike Escalation |
| 6 | CVD Deposition Rate Drift |
| 7 | PVD Target Erosion Non-Uniformity |
| 8 | CVD Chamber Particle Escalation |
| 9 | ALD Precursor Pulse Timing Drift |
| 10 | Excimer Laser Gas Depletion |
| 11 | Etch Endpoint Detection Failure |
| 12 | Vacuum Slow Leak Detection |
Additional CEP patterns are under development with clients. Contact us for the complete pattern library catalog.
Unlike traditional data pipelines that require manual configuration and scheduling, DataFabrica™ AI agents orchestrate the entire data pipeline once designed and configured.
Real-time data streaming from equipment sensors. Protocol-agnostic ingestion across OPC UA, MQTT, SECS/GEM, Redfish, SNMP.
32 CEP patterns + fault detection AI running in parallel. Pattern matching across millions of sensor streams for equipment and IIoT devices.
Data lakehouse architecture with data virtualization. Agentic data transformation with schema validation and data quality management.
Automated alerts, maintenance recommendations, and real time process control adjustments — improving Equipment OEE and yield, and reducing maintenance costs.
32 pre-built CEP patterns and 15 specialized AI multi-agents — ready to deploy on day one. Schedule a demo to see temporal pattern detection in action on your equipment data.