Our AI-driven solutions empowers industries with advanced AI/ML technologies to optimize processes and enhance decision-making. From predictive analytics to fault diagnosis, we uncover hidden patterns and correlations in data, enabling proactive maintenance and improved efficiency.
Our services, including process modeling and soft sensor development, transform raw data into actionable insights, ensuring smoother operations and reduced downtime.
Use Power of AI/ML to push the boundaries of Engineering Possibilities
Our AI-driven solutions empowers industries with advanced AI/ML technologies to optimize processes and enhance decision-making. From predictive analytics to fault diagnosis, we uncover hidden patterns and correlations in data, enabling proactive maintenance and improved efficiency.
Our services, including process modeling and soft sensor development, transform raw data into actionable insights, ensuring smoother operations and reduced downtime.
Application of AI/ML
in Process Industry
Soft Sensing
Soft sensors or virtual sensors are models used to estimate the values of quality related process variables which are other-wise difficult to measure in real-time.
Process Monitoring
Process monitoring/fault detection/abnormality detection is among the most popular
application of ML in process industry.
Predictive Maintenance
Predictive maintenance models are built to determine the time to failure of any equipment or detect patterns in process data that could signal an impending process failure.
Our AI/ML Services
Data Analytics for Process Improvement
Data Analytics
Discover & analyze patterns in data for actionable decisions
Predictive
Maintenance
Identify states that could lead to system failures and take pre-emptive corrective steps to reduce downtime.
Process Modelling
Identify correlation between the process objective variables using cutting edge ML techniques
Fault Diagnosis
Analyze the root cause of process issues using ML & analytics.
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Data Driven Performance Monitoring
Process Monitoring
DData driven process monitors to identify deviation from the desirable process behavior.
Quality
Monitoring
AI/ML based soft-sensor to predict Quality Parameters based on current state of process variables.
Process Fault
Detection
Models to detect onset of failures and identify the process variables causing it.
Fault Classification
Analyze the root cause of process issues using ML & analytics.
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AI/ML Model Development
Artificial Neural Network
Physics informed & Data driven "Deep learning model" development.
Soft Sensor Modeling
Virtual sensor to predict difficult to measure quality parameters for monitoring.
Digital Twin
Modeling
Data & behavioral twin of physical systems.
AI/ML model
Validation
Evaluate various ML techniques for the use-cases and validate their performance.
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AI/ML Model Deployment
SAAS
Platform
Platform to deploy AI/ML model & to integrate with data & visualization.
On-premise /
Cloud Deployment
Deployment to on-premise or Cloud computing infrastructure.
Integration &
Enhancements
Data Integration with SCADA & IIOT systems
Monitoring &
Management
Monitor deployed Models for high performance & availability.