The 40,000 ingredient dataset offered by Innosol is a proprietary database of fragrance and flavor ingredients designed primarily for use in Artificial Intelligence (AI) and Machine Learning (ML) applications in the flavor and fragrance (F&F) industries.

 

Key Features of the Innosol Dataset

• Size and Scope: The database contains over 40,000 unique flavor and fragrance ingredients (chemicals).

 

• Data Points: Each ingredient in the dataset reportedly includes hundreds of detailed data points, such as:
  • Aroma and taste profiles (organoleptics).
  • Chemical Abstracts Service (CAS) numbers.
  • SMILES strings (Simplified Molecular Input Line Entry System).
  • Solubility and evaporation parameters.
  • Sustainability information.

 

• Purpose: The dataset is intended to help companies train AI algorithms for tasks like:
  • Generating new, unique fragrance and flavor formulas.
  • Identifying sustainable ingredient options.
  • Optimizing product development and R&D.
  • Analyzing market trends and national brand formulas.

 

• Format: The data is provided as a flat file, making it “Python ready” and compatible with various data analysis and machine learning tools.

 

• Licensing: Innosol licenses this trade-secret dataset to other companies, positioning it as a foundational tool for R&D in the F&F industry, rather than a publicly available resource.

For more information, contact us.