SKS Nutrition

Ai-driven formulation predictions for enhanced brazilian cocoa chocolate texture

Technology
In development
Company

AI-driven solution utilizes SKS FormulaAI to enhance the texture, snap, and heat resistance of Brazilian cocoa chocolate, making it comparable to West African blends. Reduces trial-and-error by predicting optimal ingredient and processing combinations.

Overview

SKS Nutrition introduces an innovative solution to enhance the texture, snap, and heat resistance of Brazilian cocoa chocolate using AI-driven formulation predictions. By leveraging SKS FormulaAI, this approach predicts the physical properties of chocolate based on ingredient composition, TAG profile, and processing parameters. This method effectively reduces trial-and-error, ensuring compatibility with standard tempering, depositing, and molding processes while enabling higher inclusion of Brazilian cocoa beans without compromising sensory quality.

Technical specifications

Key features:

  • Utilizes SKS FormulaAI to predict chocolate texture, snap, and heat resistance
  • Optimizes ingredient combinations including minor fat modifiers and crystallization enhancers
  • Adjusts liquor processing parameters such as particle size and shear history
  • Ensures formulations are compatible with standard chocolate manufacturing processes

Applications:

  • Enhancing Brazilian cocoa chocolate to match the quality of West African blends
  • Reducing experimental iterations in chocolate formulation development
  • Providing a cost-effective and scalable solution for chocolate manufacturers
Technology readiness level

The AI-driven formulation strategy has reached Technology Readiness Level 5, indicating that it has been validated in relevant environments. Future validation plans involve targeted experimental trials to further refine the model and finalize formulations for industrial-scale production.

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