Digitizing Fragrances using Odor Molecules: Helping firms deliver digitized odors and tastes anywhere and instantaneously using new technology and devices. Using our intellectual property, trade secrets, & recipes in our library of fragrance data, we work with firms who are developing large-scale machine- learning algorithms to reduce “noise” and predict odor quality based on molecular structure. We engage with commercial partners that build devices capable of detecting, creating, and sharing scents.
Machine Learning Dream; Fragrances & Flavours
Let us show you how our 30,000 formulas with over 1,000,000 lines of data and 300 columns per molecule can further your research.
Your Dream has come True:
Aroma and taste features have been digitized for over 30,000 of the world’s most iconic perfumes, personal care brands, cosmetics, pharma, & industrial aromas. Each formula includes its quantitative odor, chemical, organoleptic & physical properties per molecule. All data is uniform & available in a flat file.
Fragrance & Flavor formulas have all been run through our GCMS lab.
Results allow users along with algorithms to identify main volatile organic compound (VOC) molecules, which drive a product’s fragrance & flavor.
Noise & its Negative Effects
It is often underestimated that if your dataset is too small, has outliers, is incomplete, or has too much noise, it can radically alter your model results.
We Can Help
Let us show you how our 30,000 formulas with over 1,000,000 lines of data and 300 columns per molecule can further your research.
We License our Fragrance Formulary to Bring the Artistry & GC-MS Data of Perfumery to Inspire Technological Innovation.