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Food & Beverage

Build and deploy digital twins of food & beverage 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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build and deploy digital twins of food and beverage plants

From dairy to sugar, food and beverage manufacturers maintain the health and safety of consumers by ensuring consistent product quality. However, manufacturing decisions can be clouded by a lack of visibility into certain processes, preventing optimal decision making:

Heterogeneous raw material quality

Lack of digitized information

Lengthy recipe  improvement process

Keep scrolling to see how Basetwo enables optimal data-driven decision-making for food & beverage manufacturers.

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.

Digital formula and recipe management
batch data management

Batch Data Management

Process and Quality Control specialists can use the Basetwo platform to not only improve yields through increased product quality and operational efficiency, but also better collect, visualize and process batch data.

Improved management of batch data can  help deliver consistent quality in alignment with recipe specifications, maximize asset utilisation and help reduce dependency on paper records, ultimately reducing batch release cycles.

pasteurization and sterilization process

Pasteurization & Sterilization

Pasteurization & sterilization is a energy-intensive, regulated process for manufacturers to ensure the health and safety of consumers. As such, process deviations need to be kept to a minimum to avoid contamination and ensure process efficiency.

Food & beverage manufacturers can use Bastwo’s modeling solution to predict process deviations in pasteurization & sterilization and ensure risk of contamination is minimized.

enzymatic catalysis process

Enzymatic Catalysis

Enzymatic reactions are key for many steps in food and beverage processing but complicate manufacturing due to the inherent heterogeneity associated with biochemical reactions.

Using the Basetwo platform, engineers can easily build Michaelis–Menten and Monod-based enzymatic process models to model enzymatic performance, significantly reducing manufacturing uncertainty and risk.

drying process of liquid gas

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.

evaporation process using ML models


Multi-effect evaporators (MEE) function to remove extra water content in food & beverages to concentrate ingredients and to maximize the shelf-life of products.

Using process data, the ML models in Basetwo can be customized to handle vapor bleeding or heat loss from each effect and integrated with a neural network to solve for unknown heat transfer coefficients, allowing reliable simulation of evaporative performance.


From evaporation to sublimation, effective crystallization requires highly specific conditions to ensure desired crystal shape and growth. Proper crystallization can have the highest impact on product yield and quality.

Leveraging ML process models in Basetwo allows engineers to predict and evaluate the influence of key process variables on final product quality.

crystallization process using ML models


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 generate and accurately predict operating information, enabling engineers to rapidly react to changes in process conditions driven by upstream output or other disturbances.

Distillation process

See how Basetwo can deliver:

Reduction in OPEX
Increase in yield and efficiency
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