AI-Powered Solutions For The
Hydrocarbon Processing
Industries
Engineering Next Generation Digital Twins & Autonomous Manufacturing Systems to Transform the Continuous Process Operations from Reactive to Predictive.
Latest News
“High fidelity, first principles-based hybrid digital twins will drive the digital transformation and autonomous manufacturing in the hydrocarbon processing industries.”
EXENTROPIC IDEAS • LONDON, CANADA
Force-X: Hybrid Digital Twin
Physics-Based Modeling + Neural Networks
Force-X is the fusion of physics-based modeling and neural network-based deep machine learning. This makes the thermodynamics, kinetics, and hydrodynamics fully embedded in the machine learning model, providing unmatched predictive insight and asset optimization capabilities.
OmniPlant-AX: Autonomous Manufacturing
Moving Past Standard Industrial Automation
OmniPlant-AX introduces closed-loop, self-operating capabilities to maximize chemical plant efficiency, safety, and yields with minimal human intervention. It processes structural plant documentation to coordinate safe operations.
HAZOP-X: AI-Driven Process Safety
Modernizing Operational Risk Assessment
HAZOP-X is an AI-driven safety infrastructure designed to automate and simplify process hazard analysis (PHA). By continuously evaluating plant piping diagrams and operational bounds, it verifies potential vulnerabilities, optimizing industrial safety protocols.
Exentropic Knowledge Centre
Available Knowledge Resources
Exentropic publishes technical briefs, slide decks, whitepapers, and interactive case studies covering the application of hybrid digital twins, chemical kinetics, and safety orchestration within heavy industry.
About Exentropic Ideas
Linking First-Principles with Industrial Intelligence
Founded in 2025 in London, Canada, Exentropic combines veteran process design expertise with modern machine learning research. We engineer next-generation, AI-powered, purpose-built suites that empower heavy industrial facilities to transition from reactive monitoring to autonomous, predictive optimization.