Use Power of AI/ML
to push the boundaries of
Engineering Possibilities
Data Analytics for Process Improvement
Data
Analytics
Discover & analyze patterns in data for actionable decisions
Process
Modelling
Identify correlation between the process objective variables using cutting edge ML techniques.
Predictive
Maintenance
Identify states that could lead to system failures and take pre-emptive corrective steps to reduce downtime.
Fault
Diagnosis
Analyze the root cause of process issues using ML & analytics.
Our Services
Data Driven Performance Monitoring
Process Monitoring
Data 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
Classify faults between different possibilities for quicker resolution.
AI/ML Model Development
Artificial
Neural Network
Physics informed & Data driven "Deep learning model" development.​
Digital Twin
Modeling
Data & behavioral twin of physical systems.
Soft Sensor Modeling
Virtual sensor to predict difficult to measure quality parameters for monitoring.
AI/ML model
Validation
Evaluate various ML techniques for the use-cases and validate their performance.
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.
