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.