Hard-to-compare supplements solved by AI-parsed ingredient & evidence dataset

Hard-to-compare supplements solved by AI-parsed ingredient & evidence dataset targets a $3.5B = 35,000 potential enterprise buyers x $100K ACV (global supplement brands, major retailers, clinical-research buyers, industry databases) total addressable market with low saturation and a year-over-year growth rate of 12-18% (data services for CPG & health analytics; supplement market growth + growing spend on data).

Key trends driving demand: Personalized nutrition -- Demand for ingredient-level accuracy to tailor recommendations and claims increases willingness to pay for validated data.; AI extraction maturity -- Improved OCR and LLM pipelines dramatically reduce time-to-index new SKUs and research, enabling near-real-time datasets.; Regulatory scrutiny -- Rising FTC/FDA attention on supplement claims pushes brands and retailers to seek evidence-linked product data to reduce risk.; Retail consolidation & data-first commerce -- Retailers and marketplaces want standardized attributes to power search, filters, and buy-box decisions..