Decision model for natural dye reformulation; fda 2027 compliance for cpg portfolios

DyeConverter™ is an AI-assisted decision model and reformulation intelligence platform built to help food and beverage companies replace FD&C artificial dyes (Red 40, Yellow 5, Yellow 6, Blue 1, and Green 3) with validated natural alternatives ahead of the FDA/HHS December 2027 phase-out mandate. The platform cross-references 1M+ curated metrics across data sets from FDA, EFSA, Codex Alimentarius, Health Canada, and JECFA in a patent-pending model that provides confidence-matched natural color candidates with PPM dosage ranges, pH and carbonation compatibility, thermal and light stability, cost and usage projections, and validated supplier technical data — all calibrated to the specific food matrix, industry category, processing conditions, packaging technology, and shelf-life environment of each reformulated product.

DyeConverter™ streamlines the one phase R&D teams control. By modeling multivariable interactions for pH drift, thermal degradation, freeze-thaw stress, light exposure, and emulsion compatibility before the first bench trial, it shortens research time (by up to 50%), mitigates costly trial failures, and gets compliant formulas to market faster — bringing ROI forward, often sooner than the boardroom timeline demanded. The platform maps FDA-approved natural color SKUs across dozens of food categories. Traditional per-SKU reformulation with consultants or fractional specialists runs $20K–$100K and takes 12–18 months. Currently onboarding CPG partners for licensing, pilot engagements, sponsored research, and co-development. Developed by Future of Food LLC founder Chef Kelly Anderson — MIT-certified in AI and machine learning for data solutions, CIA-trained, with nearly 20 years of R&D across Nestlé, Disney, Impossible, Starbucks, US Foods, and Panera.