Construction & Building Materials

Use AI to optimize the manufacturing of construction and building materials

The Basetwo AI copilot gives manufacturers recommendations to ensure consistently high quality products while reducing time-to-market and production costs.

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build and deploy digital twins of food and beverage plants

The manufacturing of construction and building materials requires delivering high-quality products in a cost-effective manner. Basetwo can support manufacturers at every stage of this process including the production of:

Precast, cast-in-place, & ready-mix concrete

Cement

Metals, Woods, Plastics & Composites

Thermal & moisture protection

Leverage AI-enabled modeling to enhance manufacturing

Lower costs associated with streamlined manufacturing process control

Develop new products faster and reduce time-to-market through predictive formulation

Enhanced product quality and consistency through defect detection and early quality forecasting

Reduce waste, energy consumption, and downtime, enabling sustainable manufacturing

Prevent deviations and ensure consistent, high-quality products

Leverage AI-optimization to maintain process quality via real-time process monitoring and control.

Predict material quality during material inspection and testing

Reduce variation with a focus on product reliability and durability

Ensure compliance of quality control standards set by ISO, ASTM, etc.

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.

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

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 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

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.

Crystallization

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.

Distillation

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.