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Build and deploy digital twins of chemical plants

Basetwo provides a complete process engineering solution that integrates model simulation, economic optimization, and quality control into a single low-code platform.

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From adhesives to fertilizers, both batch and continuous chemical manufacturers rely on the fundamentals of process engineering to achieve consistent product quality. However, chemical manufacturing is often complex, making optimization challenging:

Heterogeneous material quality

Complex multi-step reaction dynamics

Noisy or sparse sensor information

Keep scrolling to see how Basetwo simplifies process optimization for chemical manufacturers.


Reducing the energy consumption of distillation is complex due to nonlinearities of upstream process disturbances that influence current operating conditions and process efficiency.

Basetwo’s modeling and optimization capabilities leverage industry-proven methods to accurately predict operating information, enabling engineers to rapidly react to changes in process conditions driven by upstream output or other disturbances.

distillation process
digital presentation of conversion process

Conversion Processes

From FCC to steam reforming or gasification units, conversion processes are usually the most complex unit operations in a chemical plant. Due to nonlinearities and raw material disturbances, controlling and operating conversion unit operations is challenging, let alone optimizing them.

Basetwo empowers process engineers with a low-code platform that provides an up-to-date digital representation of their conversion unit operations that enables real-time process understanding.


From evaporation to sublimation, effective crystallization requires highly specific conditions to ensure desired crystal shape and growth. In many cases, proper crystallization can have the highest impact on product yield and quality which makes optimal manufacturing challenging.

Leveraging ML process models in Basetwo allows engineers to predict and evaluate the influence of key process variables on final product quality without consuming precious manufacturing resources.

ML process models which predicting and evaluate the influence of key process variables
drying process

Drying Processes

Product quality, consistency, and energy consumption are key process variables that are critical to the commercial success of any organization. Dryers can be energy-intensive processes and are often one of the most crucial to the product quality.

Using Basetwo, engineers can simulate and improve finished product quality, dryer performance and specific energy consumption under dynamic process conditions.

Digital Formula & Recipe Management

Maintaining the accuracy and consistency of recipes can be daunting for batch production operations.

Basetwo offers process engineers with the ability to assess and optimize recipes, increasing operational efficiency and flexibility by reducing product changeover time and improving product quality and consistency.

The platform allows users to abstract formulas and recipes from underlying control systems, which streamlines the introduction of new product processes enterprise-wide.

abstraction of formulas and recipes

See how Basetwo can deliver:

Reduction in OPEX
Increase in yield and efficiency
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