Frankles
Frankles designs sustainable extraction processes so ingredient companies can replace petroleum-derived molecules with plant- and waste-based alternatives. The company uses NoDex, a machine-learning and molecular-data platform that computationally designs molecular extraction workflows from plant raw materials and agro-industrial side streams. Frankles combines molecular modeling, data-driven process design, and lab-scale extraction to produce flavorings, functional ingredients, antioxidants, and other biocompounds. The product is positioned as a B2B climate-tech platform aimed at ingredient manufacturers and the agrifood value chain, offering a scalable route to decarbonize ingredient supply.
Frankles
Frankles designs sustainable extraction processes so ingredient companies can replace petroleum-derived molecules with plant- and waste-based alternatives. The company uses NoDex, a machine-learning and molecular-data platform that computationally designs molecular extraction workflows from plant raw materials and agro-industrial side streams. Frankles combines molecular modeling, data-driven process design, and lab-scale extraction to produce flavorings, functional ingredients, antioxidants, and other biocompounds. The product is positioned as a B2B climate-tech platform aimed at ingredient manufacturers and the agrifood value chain, offering a scalable route to decarbonize ingredient supply.