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DomainWise -Your Gateway to PlantGPT

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*Contextualize the knowledge from multiple data SAP, P&IDs, manuals, simulations, and time series data through intelligent agents.
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*PlantGPT transforms industrial data into dynamic knowledge graphs, enabling intuitive, explainable navigation and real-time conversational insights through an intelligent AI interface.
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*With purpose-built workflow level applications like OpsEdge, HexAgent, and EmitOps, PlantGPT empowers plants to optimize maintenance, energy, and emissions management with AI-driven precision.
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*PlantGPT offers the flexibility to build custom AI agents by orchestrating structured, unstructured, and embedded industrial data into powerful, domain-specific knowledge models.
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What is DomainWise – Your Gateway to PlantGPT?

To meet the advisory needs of the manufacturing operations, we introduce PlantGPT , powered by our DomainWise is a next-generation solution that fuses knowledge contextualization, deep domain expertise, and an operations-centric multi-agent framework.

It is built around purpose-designed micro-agents that collaborate to provide real-time conversational assistance, decision support, and advisory insights tailored to daily plant operations.

Each micro-agent is specialized to contextualize information, interpret operational data, and deliver actionable knowledge precisely when and where it’s needed. By orchestrating these intelligent agents, the DomainWise bridges the gap between raw operational data and expert decision-making, enhancing situational awareness, operational efficiency, and plant reliability.

PlantGPT Capabilities Overview

PlantGPT transforms fragmented industrial data into unified operational intelligence. By seamlessly contextualizing SAP data, sensor streams, P&IDs, and maintenance logs, PlantGPT empowers AI agents to perceive complex plant systems holistically. This deep perception provides the foundation for proactive decision-making, optimized processes, and smarter plant operations.

PlantGPT captures and structures domain expertise through SME-guided knowledge modeling. By embedding human insights directly into foundational data models, PlantGPT ensures AI agents interpret operational data with the expertise of seasoned engineers. This fusion of data and cognition enables intelligent, plant-specific decisions that enhance accuracy, speed, and reliability across workflows.

PlantGPT engineers transparent decision-making through dynamic Knowledge Graphs. These graphs map how operational data, historical context, and domain knowledge converge to drive AI actions. Plant teams can trace every recommendation back to its source, ensuring explainable, auditable, and trustworthy AI-driven decisions throughout plant operations.

PlantGPT embeds AI-driven intelligence directly into operational workflows, ranging from emissions management to shutdown planning. AI agents orchestrate actions across processes, enabling faster decision cycles, improved asset reliability, and optimized resource utilization. With PlantGPT, plants evolve beyond isolated analytics toward truly intelligent, autonomous, and integrated operations.

PlantGPT combines traditional machine learning with LLM-powered contextual reasoning to create a hybrid intelligence ecosystem. Predictive models provide foresight, while agentic LLMs reason about operational impacts and recommend next steps. This dual-engine architecture ensures plants achieve actionable, context-aware, and agile decision-making at industrial scale.

PlantGPT builds a living, dynamic knowledge fabric by digitizing and contextualizing enterprise knowledge. AI agents continuously access and activate this structured plant memory to deliver real-time insights, ensure operational consistency, and accelerate excellence. By transforming passive information into an intelligent, evolving resource, PlantGPT powers AI-driven plant operations with unmatched agility and precision.

Secure, Enterprise-Grade Deployment

  • Your Cloud, Your Control: Fully deployed within your cloud tenant, ensuring zero external data sharing.
  • Data Sovereignty: Compliant with legal, regulatory, and data residency requirements across jurisdictions.
  • Enterprise-Grade Protection: Incorporates infrastructure controls and robust security measures to safeguard your data.

AI & Model Security

  • Isolated Deployment: AI models operate entirely within your infrastructure, eliminating exposure risks.
  • Private & Ownable: Models are fine-tuned for your use case with full intellectual property ownership.
  • Explainable AI: Decision-making is transparent and traceable via graph-driven analytics.

Compliance & Governance

  • Standards-Driven: Designed to support frameworks such as ISO 27001, NIST CSF, and operational technology (OT) compliance.
  • Custom Policy Support: Tailors to your enterprise’s governance requirements and internal policies.
  • Threat Resilience: Includes built-in vulnerability management to maintain system integrity.
FEATURED

Agentic AI for Maintenance Management

Real-time Insights to Action – Minimize Downtime

Root Cause Analytics

Root Cause Analytics (RCA)

WORKFLOWS

  • Deviation alerts in real time
  • AI-based fault tracing
  • Prescriptive recommendations
  • Faster root cause identification
  • Self-learning agent models
Maintenance Planning

Maintenance Planning

WORKFLOWS

  • Dynamic scheduling
  • Task automation
  • Asset prioritization
  • AI plans tasks by risk & health
  • Proactive issue forecasting
Shutdown Planning

Turnaround & Shutdown

WORKFLOWS

  • Scope optimization
  • Real-time scheduling
  • Cost-risk balancing
  • Adapts plans to evolving data
  • Reduces delays & overruns
Lifecycle Management

Rotating Asset Lifecycle

WORKFLOWS

  • Live model monitoring
  • Drift detection
  • RCA integration
  • Ensures performance reliability
  • Supports remote diagnostics
FEATURED

Agentic AI for Quality Excellence

Proactive, Predictive, and Intelligent Quality Management

Quality RCA

Quality RCA

WORKFLOWS

  • Detects quality deviations early
  • Auto RCA using production data
  • Recommends quick fixes
  • Accelerates resolution cycles
  • Learns from past issues
Quality Management

Quality Management

WORKFLOWS

  • Real-time process monitoring
  • Predictive alerts on deviations
  • Suggests context-aware actions
  • Enables proactive control
  • Drives agile quality ops
Complaint CAPA

Complaint Investigation (CAPA)

WORKFLOWS

  • Auto triage of complaints
  • Fast root cause tracing
  • CAPA suggestions on the fly
  • Reduces repeat issues
  • Enables continuous learning
FEATURED

Agentic AI for Process Excellence

Faster Insights, Smarter Actions, Sustainable Performance

Process Investigation

Process Investigation and Root Cause Analysis

  • Real-time process deviation detection
  • Automated root cause identification
  • Prescriptive corrective actions
  • Continuous learning for refined models
Scenario Planning

What-If Analysis / Scenario Planning

  • Real-time scenario simulation
  • Risk and impact assessment
  • Prescriptive operational strategies
  • Agile decision support for quick adjustments
Refinery CDU Optimization

Refinery CDU Pre-Heat Optimization

  • Monitors heat exchanger performance
  • Dynamic cleaning recommendations
  • Pre-heat network optimization
  • Energy and cost savings
APC/RTO Optimization

APC/RTO/Optimizer Lifecycle Management

  • Continuous monitoring of APC/RTO systems
  • Real-time detection of performance degradation
  • Prescriptive root cause analysis and corrective actions
  • Optimization aligned with plant conditions
CIP/SIP Optimization

LifeScience's CIP/SIP Optimization

  • Monitors CIP/SIP operations
  • Suggests cycle adjustments for efficiency
  • Supports cleaning validation for compliance
  • Reduces resource usage and downtime
OEE Optimization

OEE (Overall Equipment Effectiveness) Optimization

  • Tracks asset availability, performance, and quality losses
  • Detects micro-stoppages and defects
  • Recommends actions to improve OEE
  • Drives continuous improvement in uptime
FEATURED

Agentic AI for Sustainability — Energy and Emissions Management

Optimizing Operations for Sustainability

Energy Efficiency

Energy Efficiency Optimization

  • Reduces energy waste and improves efficiency.
  • Monitors consumption to optimize usage.
Renewable Integration

Renewable Energy Integration

  • Integrates renewable sources into operations.
  • Improves energy resilience with cleaner energy.
Emissions Tracking

Emissions Tracking

  • Monitors emissions and identifies hotspots.
  • Supports regulatory compliance and reporting.
Smart Grid

Smart Grid Management

  • Optimizes energy flow and storage.
  • Balances renewable and non-renewable energy sources.

Benefits and Savings

Operational Efficiency Gains

PlantGPT accelerates decision-making and automates routine workflows, delivering up to 20% improvement in KPIs like uptime, throughput, and cycle time.

Downtime Reduction

By enabling real-time troubleshooting and intelligent root cause analysis, plants can reduce unplanned downtime by 25–35%.

Knowledge Retention

PlantGPT helps retain critical SME knowledge, reducing training and onboarding times by 30–40% and minimizing knowledge loss risk during workforce transitions.

Energy & Sustainability Improvements

Continuous process and energy optimization with PlantGPT typically achieves 8–15% reductions in energy usage and supports decarbonization targets.

Cost Savings

By preventing repeat failures and reducing inefficiencies, cost savings of 5–10% of annual operational spend are typical across chemical and process industries.

Regulatory Compliance And Risk Reduction

PlantGPT’s decision pathways and knowledge graphs support higher compliance rates and lower operational risk through explainable AI actions.

Technology Details

*Flexible Large Language Models (LLM) Selection

PlantGPT is designed with a composable, scalable, and secure architecture that adapts to industrial needs, ensuring maximum flexibility across language models, knowledge graphs, and data sources. 

Our technology framework empowers customers to choose and customize their AI infrastructure according to operational, security, and scalability requirements. 

*Flexible Knowledge graph Selection

PlantGPT is designed with a composable, scalable, and secure architecture that adapts to industrial needs, ensuring maximum flexibility across language models, knowledge graphs, and data sources. 

Our technology framework empowers customers to choose and customize their AI infrastructure according to operational, security, and scalability requirements.