Sunthetics brings AI-powered experiment optimization to Pharmaceuticals, Cosmetics, Advanced Materials, and CRO & CDMO — delivering up to 32x faster R&D with as few as 5 experiments.
Sunthetics supports four chemistry-intensive industries: Pharmaceuticals, Cosmetics & Personal Care, Advanced Materials & Coatings, and CRO & CDMO. Each vertical benefits from the platform's Bayesian optimization engine, which generates high-confidence experiment recommendations with as few as 5 data points — dramatically reducing the trial-and-error cycle that slows R&D in every one of these fields.
Sunthetics uses machine learning to replace manual trial-and-error with data-driven experiment recommendations. The platform has demonstrated up to 32x faster R&D progress and a 97% reduction in experiments versus traditional DOE and HTE methods. Because it is reaction-agnostic and requires no coding, R&D teams in pharma, cosmetics, materials, and contract research can deploy it immediately — regardless of the specific chemistry or formulation challenge they are solving.
Yes. Sunthetics was specifically built for data-limited environments. The platform achieves 99% prediction accuracy and can begin generating actionable recommendations from as few as 5 experiments. This makes it well-suited for early-stage development across all four supported industries — whether your team is optimizing a new drug synthesis route, scaling a cosmetic formulation, characterizing a novel material, or delivering process development services as a contract organization.