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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.

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AI/ML

Driven Engineering

SERVICES

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Power & Energy

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HVAC & Data Center

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Process & Manufacturing

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Renewables

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System Modeling

Services

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Power & Energy

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Process & Manufacturing

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HVAC & Data Center

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Renewables

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Computational Fluid Dynamics

( CFD )

SERVICES

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Power & Ener

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Process & Manufacturing

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HVAC & Data Center

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Renewables 

AI/ML
Driven Engineering

Purchase in under three minutes

Track prices and follow charts

Earn interest on your crypto

Earn interest on your crypto

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HVAC & Data Center

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Renewables

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Process & Manufacturing

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Power & Energy

AI/ML
Driven Engineering

Use Insights from  Data to drive Efficiency & Innovation.

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Power & Energy

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Renewables

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Process & Manufacturing

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HVAC & Data Center

Let AI Take
Your Engineering to 
a new level.

Computing Technologies

High Performance Computing
Cloud Computing
Analytics
Industrial IOT

CFD

Flow & Heat Transfer Analysis
Turbo-Machinery Analysis
Combustion Modeling
Mold Flow Analysis

System Modeling

Pneumatic Applications
Thermal & Themo-power Systems
Process Modelling & Simulation
Dynamic System Modelling

Data Driven Performance Monitoring

Process Monitoring
Quality Prediction
Process Fault Detection
Fault Classification

AI/ML Model Development

Supervised & Unsupervised Models
Neural Network(ANN)
Reinforcement Models
Surrogate & Digital Twin Modeling

Data Analytics for Process Improvement

Data Visualization
Process Modeling
Soft Sensor Development
Predictive Maintenance
Fault Diagnosis

Let AI Take
Your Engineering to 
a new level.

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Data Analytics for Process Improvement

Data Visualization
Process Modeling
Soft Sensor Development
Predictive Maintenance
Fault Diagnosis

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AI/ML Model Development

Supervised & Unsupervised Models
Neural Network(ANN)
Reinforcement Models
Surrogate & Digital Twin Modeling

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Data Driven Performance Monitoring

Process Monitoring
Quality Prediction
Process Fault Detection
Fault Classification

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System Modeling

Pneumatic Applications
Thermal & Themo-power Systems
Process Modelling & Simulation
Dynamic System Modelling

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CFD

Flow & Heat Transfer Analysis
Turbo-Machinery Analysis
Combustion Modeling
Mold Flow Analysis

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Computing Technologies

High Performance Computing
Cloud Computing
Analytics
Industrial IOT

Let AI Take
Your Engineering to 
a new level.

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Data Analytics for Process Improvement

Data Visualization
Process Modeling
Soft Sensor Development
Predictive Maintenance
Fault Diagnosis

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AI/ML Model Development

Supervised & Unsupervised Models
Neural Network(ANN)
Reinforcement Models
Surrogate & Digital Twin Modeling

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Data Driven Performance Monitoring

Process Monitoring
Quality Prediction
Process Fault Detection
Fault Classification

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System Modeling

Pneumatic Applications
Thermal & Themo-power Systems
Process Modelling & Simulation
Dynamic System Modelling

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CFD

Flow & Heat Transfer Analysis
Turbo-Machinery Analysis
Combustion Modeling
Mold Flow Analysis

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Computing Technologies

High Performance Computing
Cloud Computing
Analytics
Industrial IOT

Technologies for innovation & growth : where deep analysis fuels smart strategy.

Achieve higher product quality,

safer work environment,

optimal & sustainable operations using AI/ML. 

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AI/ML 

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CFD Analysis

We offer Computational Fluid Dynamics (CFD) services to address product development challenges through a physics-based problem-solving approach.

Use Digital Twin & Surrogate Models based on physics & driven by data to enhance  understanding of system behavior and to optimize performance.

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System Modeling

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Computing Technologies

We build and deploy AI/ML models to integrate with  IOT & sensor data to enable real-time decision making driven by data.

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Potential of AI/ML Impact 

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Reduced
Downtime

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Increased
Safety

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Optimal
Operations

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Higher
Performance

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Increased
Efficiency

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