Digitalize your

Manufacturing Operations

Monitor and control from anywhere.
Learn More
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Data-Driven
Operation

Gain real-time actionable ​insights and drive your ​operations using data.​

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Process
Optimization

Optimize your process continuously through our digital twin solutions.​

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Performance Improvement

Predict failures ahead of time and bridge the gap between performance and potential.​

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Revenue
Acceleration

Identify opportunities for cost reduction by leveraging your operational data.

Our Value-Added Solutions
To Manufacturing Industries

Digital Twin

Create a dynamic, virtual replica of your entire operation using your OT and IT data.

Process Analytics

Optimize your process continuously using our advanced data analytics platforms.

Condition Monitoring

Monitor your critical process parameters and equipment health conditions in real-time.

Predictive Maintenance

Predict failures ahead of time and perform online maintenance to prevent downtime.

Anomaly Detection

Identify minor outliers using soft sensors to ensure process capability and product quality.

Machine Vision

Automatically adapt your machine vision process for new products using AI & ML.​

Smart Scheduling

Devise optimized scheduling strategies for an effective production planning process.

Intelligent Inventory

Forecast and optimize your inventory levels using cloud-based real-time monitoring.​

Shop Floor Safety

Predict the risk and safety hazards in the shop floor to ensure safe working condition.

Condition Monitoring

Challenge

The client is an automotive manufacturer facing unexpected downtime due to sudden and unprecedented equipment failure.

Solution

  • Monitored real-time operational data and identified anomalies in assets temperature.
  • Assessed temperature variance across the assets and predicted the assets prone to abnormalities for preventive maintenance.
  • Detected abnormal temperatures automatically based on the concurrence data using time series forecasting models.

Anomaly Detection

Challenge

A chemical manufacturing company approached us to detect anomalies occurring in multiple devices using Reinforcement Learning.

Solution

  • Ranked top 5 anomalies across multiple devices and to detect them RL based Anomaly Detection with Expert in Loop was proposed.
  • Built ML models with optimal parameters on various algorithms and deployed the optimized model.
  • Successfully validated the detection of targeted anomalies and alerted the maintenance team to prevent them ahead of time​.

Predictive Maintenance

Challenge

The Client is a power utility company that experienced difficulties in RO operations and requested complete predictive maintenance analytics.

Solution

  • Designed and developed KPI based health monitoring dashboard to ensure permeate quality in real-time Predicted remaining useful life of filter membrane to prevent unexpected machine downtime.
  • Automated the root cause analysis for any deterioration in KPI and PPI metrics.

Process Optimization

Challenge

An automotive manufacturer wanted to improve the efficiency of the painting process as a part of continuous improvement.

Solution

  • Proposed Mechanistic Data Science approach to forecast and optimize the process parameters.
  • Collected historic and live data of every quality incident and correlated them with the predefined KPIs.
  • Integrated the mathematical model for every process stage with our analytics platform and recommended improved process parameters.

Defect Management

Challenge

A wheel manufacturing company faced a higher rejection and rework rate in the MIG welding process than in any other area of production.

Solution

  • Conducted a detailed research study on the possible causes of the most repeating welding defects Correlated the weld parameters, production reports, and testing results with welding defects to figure out the exact root cause.
  • Recommended the corrective action and developed intelligent dashboards to predict the process deviation.

Operational Efficiency

Challenge

An automotive parts supplier approached us to improve operational efficiency while reducing manufacturing costs.

Solution

  • Connected all the machines across the production line and gathered operational data in real-time to perform advanced analytics.
  • Developed interactive dashboards to monitor and optimize machine utilization, production loss, and process capability Increased visibility to the leaders to effectively plan resource and inventory management.