Tailored Industrial AI Agents
SIOTH® Industrial AI embed domain expertise into intelligent agents tailored for asset-intensive industries.
Each agent combine data, models, rules, and workflows to reflect real operational realities
Water & Wastewater
Improve energy efficiency, asset health, and operational resilience
Mining & Minerals
Optimize asset utilization, energy consumption, and operational throughput.
Chemicals, Oil & Gas
Improve asset reliability, production efficiency, and operational risk management.
Power Utility
Increase reliability, grid performance, and predictive maintenance effectiveness.
SIOTH® Industrial AI
From unified data modeling to automated actions. SITOH® combines industrial data with business rules, workflows, and machine learning for seamless operational intelligence.
Unified Data Model
Field Devices / Sensors
Data Model Module
- Unified Namespace Standardization
- Ontology / Tag Mapping
- Semantic Layer
- Data Normalization
Data Model Module · Key Functions
SIOTH® Data Model Module structures industrial data so AI models, expert rules, and workflows operate on a shared, consistent understanding of your assets. It transforms raw signals into contextualized, reusable, and scalable intelligence.
Asset-Centric Industrial Modeling
- Model equipment,units, lines, and processes as real operational assets
- Reflect physical and logical industrial structures, not isolated tags
- Align IT data models with OT reality
Contextualized Industrial Data
- Bind time-series data to assets, states, events, and KPIs
- Add operational context to raw industrial signals
- Enable meaningful analysis beyond numerical values
Reusable Asset & Logic Templates
- Define reusable asset templates and standardized KPIs
- Reuse rules, calculations, and workflows across sites
- Accelerate deployment while ensuring consistency
Unified Foundation for AI, Rules, and Workflow
- Provide a single semantic layer for all intelligence components
- Feed AI models, expert rules, workflows, and root- cause analysis
- Eliminate duplicate logic and conflicting interpretations
Governed, Scalable, and Future-Proof
- Manage model versions and control changes over time
- Scale safely across assets, lines, and sites
- Support long-term evolution without breaking intelligence logic
Expert Rules & Business Logic
- Encode domain expertise and operational know-how into rules
- Define conditions thresholds, and decision logic
- Complement AI models with deterministic expertise
Rule Engine
The SIOTH® Rule Engine empowers users to construct rules to detect complex events and abnormal conditions, launch workflows and trigger notifications.
Real-Time Event Evaluation
- Continuously evaluate rules on live and historical data
- Detect abnormal conditions, deviations, and risks in real time
- React instantly to operational changes
Explainable Decisions & Root-Cause Support
- Provide transparent rule logic behind decisions,
- Support root-cause identification and diagnosis
- Enable operators and engineers to understand “why”
Decision-Oriented Alerts & Actions
- Trigger contextual alerts based on operational conditions
- Launch automated actions and workflows
- Avoid alarm floods by focusing on actionable situations
Seamless Integration with AI & Workflows
- Combine rules with AI predictions and analytics outputs
- Orchestrate decisions across workflows and systems
- Enable hybrid intelligence scenarios
Workflows in SIOTH®
SIOTH® Workflows orchestrate decisions across people, systems, and processes, ensuring insights, rules, and AI predictions translate into timely and coordinated operational actions
Scheduler
Runs tasks automatically at predefined times or events
Procedures Automation
Executes start-up, shutdown, escalation tasks
SIOTH® Database Access
Accesses industrial data for analysis
Script Execution
Executes custom with Java/Python
Root Cause Identification (RCI)
Root Cause Identification (RCI) uncovers the true cause behind any issue, not just the symptoms. Gain instant insights to act smarter, faster, and with confidence
Augmented AI Applications
Augmented AI combines data-driven models with expert knowledge to enhance decision-making, accuracy, and operational resilience across industrial operations.
Online Modeling
- Continuously adapts models using live OT and IoT data
- Reflects current process behavior in real time
- eflects current process behavior in real time
Predictive Machine Learning
- Learns historical and streaming data patterns
- Forecasts failures, performance degradation, and risks
- Enables proactive and preventive decisions
Rules, Workflows & RCI
- Encodes expert rules and operational logic
- Triggers actions and orchestrates workflows
- Keeps analytics aligned with actual operating conditions
Online Modeling
SIOTH® continuously builds and updates operational models directly from live OT and IoT data. By adapting in real time to process changes, asset aging, and evolving operating conditions, SIOTH® ensures analytics always reflect reality. This delivers faster insights, higher accuracy, and confidence in every operational decision.
Predictive Machine Learning
SIOTH® transforms historical and streaming data into predictive intelligence. Advanced machine learning models anticipate failures, performance losses, and operational risks before they occur. Deployed at the edge or in the cloud, SIOTH® delivers low-latency predictions with enterprise-grade scalability and reliability.
Rules, Workflows & RCI
SIOTH® combines AI with human expertise to drive explainable and actionable intelligence. Embedded rules, automated workflows, and Root Cause Identification turn predictions into clear explanations and guided actions. This creates transparent, trustworthy AI that not only predicts issues, but ensures consistent and effective operational outcomes.