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Speciality Chemicals

From Fertilizer to Speciality chemicals, Chemical manufacturing is often complex even for very well experienced operators to take decisions due to a variety of challenges such as

  • Non Homogeneous quality of raw materials;
  • Complex process & Large lead time in chemical reaction process;
  • Low operational visibility leading to Sub optimal operational decisions.

Leverage our Digital Twin solution to determine real-time decisions even for processes where sensor deployment is not possible.

Digital Twin for Chemicals

Our Digital Twin solution offers predictions for processes that are complex due to the presence of multiple variables, making it very difficult to predict, let alone optimization.

Use Case 1

Soft Sensor based predictions

Use Case 2

Advisory level plant control recommendation

Use Case 3

Supervisory closed loop optimization

Solution Highlights
  • Multivariate, Deep learning (AI) model to Predict every Acid Quality
  • Adaptive modelling approach to suit any variations to raw material inputs & operational regime
  • Soft sensor to predict the product & intermittent process quality
Key Benefits
  • Reduced lead time (by up to 90%) between Quality process checks and Operator’s Action
  • Low footprint AI Edge device implementation to predict quality parameters
  • Advisory recommendation to control the plants for better operational excellence
Faster Quality Predictions

Operators to act swiftly (16 times faster) based on predicted quality.

Prediction Accuracy

Within 1st year our Digital Twins are delivering 95% model accuracy.

Soft Sensor based Quality Predictions

Help your Operator take faster actions, instead of waiting for lab results

Contact Us

Like to see our solutions in action. Let’s get started. Contact us for a free demo.