GenX360
genX360 is a Generative AI decision-support platform designed for chemical and process manufacturing operations. It provides engineers and operators with a conversational AI assistant across operating dashboards, Teams, and other work channels, enabling them to access plant information, generate reports, initiate analyses, and manage operational actions using plain-English instructions.
Configured using plant-specific tags, documents, dashboards, unit templates, and engineering tools, genX360 identifies the appropriate source or tool for each request and delivers contextualized answers, summaries, reports, alerts, presentations, and approved work actions within the applications teams already use.
Salient Features
Client Benefits
Enable 10× Faster Decisions
Receive answers in seconds instead of relying on manual data pulls and repetitive information gathering, accelerating routine operational decision-making.
Automate Operational Workflows
Raise, track, approve, and close work items through connected workflows, reducing manual follow-up across operational teams.
Enable 24×7 Operational Monitoring
Maintain an always-on watch for predefined process deviations across every shift and bring relevant issues to the attention of the appropriate teams.
Reduce Manual Reporting & Coordination
Automate routine reports, presentations, dashboard summaries, shift handovers, reminders, and follow-ups to reduce repetitive engineering and operational effort.
Dashboard & Snapshots
![Solution configuration [Defining the Objective: Maximize Production, Minimize Utility]:](https://ingenerox.ai/wp-content/uploads/2025/05/Picture3-3.png)
![Solution configuration [Defining cases of interest – Multiple cases can also be added]:](https://ingenerox.ai/wp-content/uploads/2025/05/Picture4-3.png)
Case Studies
Development of Soft Sensor to predict the C5 contents in Debutaniser column Overhead:
Background
In modern petrochemical operations, maintaining product specifications within tight limits is critical for both quality assurance and process efficiency. One of the key challenges faced by a leading chemical plant was the need for real-time prediction and monitoring of C5 content in the overhead stream of the debutanizer column — a crucial step to ensure product specification compliance and optimize operations.
Challenge
Traditional laboratory testing methods for measuring C5 content introduced significant time delays, making real-time adjustments difficult. The plant required a fast, accurate, and reliable solution to continuously monitor C5 levels, allowing operators to take timely corrective actions and avoid off-spec products.
Solution with AnalyticX
Using AnalyticX, the engineering team was able to develop a soft sensor — a machine learning-based predictive model — specifically designed to estimate the C5 content in the debutanizer overhead stream in real time.
Key steps included:
- Seamless ingestion of historical operational data into AnalyticX without any coding requirements.
- Applying statistical analysis to identify key process variables influencing C5 concentrations.
- Rapid development and training of a machine learning model tailored to predict C5 content with high accuracy.
- Deployment of the predictive model into live operations for real-time product spec monitoring.
Results
- Enhanced Product Monitoring:
Operators now have a real-time view of the predicted C5 content, significantly reducing reliance on delayed lab measurements. - Improved Process Control:
By closely tracking C5 levels, the plant was able to make timely adjustments to operational parameters, ensuring consistent product quality. - Reduced Off-Spec Production:
Real-time insights helped minimize off-spec batches, leading to material savings and reduced reprocessing costs.
Key Takeaways
- AnalyticX enabled the rapid development of a soft sensor customized for critical KPI monitoring.
