Rewrite AI Extensions for Ignition
Native AI-powered modules and tools that extend your Ignition SCADA capabilities
Be among the first to bring AI to your Ignition system. No spam, ever.
The Problem with
Traditional SCADA
Ignition systems are powerful, but operators still struggle to catch problems early.
Alarm Fatigue
Static thresholds trigger hundreds of nuisance alarms. Critical issues get buried in the noise.
Data Overload
Thousands of tags flowing through Tag History. No human can spot subtle patterns manually.
Reactive Culture
Equipment fails first, then you fix it. Maintenance schedules are arbitrary rather than data-driven.
Enter AI Extensions
Native Ignition modules that run AI models on your gateway. No cloud, no external services. Point them at your tags and they learn what normal looks like.
Automatic pattern learning from Tag History
Predict failures hours or days in advance
Configure via Designer—no data science degree needed
Integrates with Alarm Pipelines and Perspective
Rewrite Extension Suite
Built with the Module SDK for seamless gateway integration and native Ignition performance
Rewrite Anomaly
for Ignition
AI-powered anomaly detection using time-series ML models. Learns normal operational patterns and identifies deviations in real-time across thousands of tags.
Key Features
LSTM & Isolation Forest algorithms
Tag-level confidence scoring
Gateway-scoped processing (on-premise)
Tag History & SQL Bridge integration
Perspective & Vision components
Rewrite Prescribe
for Ignition
Decision support module for Ignition. Simple visual workflows trigger recommended actions when alarms fire or anomalies detected. Tight integration with Rewrite Anomaly.
Key Features
Visual workflow designer (condition → action)
Alarm pipeline integration
Rewrite Anomaly native hooks
Operator action logging
Perspective popover components
Rewrite Fleet
for Ignition
Enterprise-wide data aggregation for multi-site operations. Unified dashboards pulling real-time data from distributed Ignition gateways for centralized monitoring and analytics.
Key Features
Gateway Network (EAM) integration
Cross-gateway tag aggregation
Centralized SQL Bridge queries
Multi-site KPI dashboards
Executive Perspective interfaces
Rewrite Connect
for Ignition
Unified Namespace modeling layer for Ignition. Auto-generates and maintains UDT structures from MQTT Sparkplug and OPC sources, enforcing ISA-95 naming standards across gateways.
Key Features
UDT auto-generation from Sparkplug
ISA-95 naming standard enforcement
Visual tag structure mapping
Works with Cirrus Link MQTT modules
Cross-gateway namespace management
Rewrite Studio
for Ignition
Opinionated design system and template pack for Ignition. Pre-built Vision/Perspective views with auto-binding wizards that map standard UDTs to production-ready screens.
Key Features
Curated design system templates
Auto-binding configuration wizards
UDT-to-screen mapping engine
Consistent Vision & Perspective themes
Common asset views (pumps, tanks, motors)
Rewrite Vista
for Ignition
Native computer vision for Ignition. RTSP camera integration with pre-trained AI models for PPE detection, zone intrusion, and quality inspection. Detection results flow directly to tags and alarms.
Key Features
RTSP camera stream integration
Pre-trained models (PPE, defects, zones)
Detection results → Ignition tags
Alarm pipeline integration
On-premise inference (GPU/edge)
Industry Applications
Proven solutions across manufacturing, utilities, and process industries
Manufacturing
Detect quality issues, process anomalies, and equipment degradation before they impact production
Water/Wastewater
Monitor pump performance, chemical levels, and flow patterns for early problem detection
Food & Beverage
Track temperature, pressure, and other critical parameters to maintain quality standards
Energy & Utilities
Identify inefficiencies and potential failures in power generation and distribution systems
Development Roadmap
Phased rollout focused on delivering immediate value
Phase 1: Wedge
Q1 2026
Anomaly + Prescribe
Flagship anomaly detection with integrated decision support for operators
Phase 2: Fleet + UNS
Q2-Q3 2026
Fleet + Connect
Multi-site dashboards with UNS modeling layer for enterprise deployments
Phase 3: UX + Vision
Q4 2026
Studio + Vista
Design system templates and computer vision for quality & safety
Join the Beta Program
Be among the first to test AI-powered anomaly detection in your Ignition system