SuntheticsML

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SuntheticsML is an AI experiment-optimization platform that helps R&D teams hit their targets with far fewer experiments. Built for scientists in pharmaceuticals, chemicals, materials, and cosmetics, it uses Bayesian optimization and active machine learning to recommend the next best experiments to run — and it works from very small, real-world datasets, not big data. Most R&D still runs on trial-and-error or exhaustive design-of-experiments (DOE) campaigns that burn time, budget, and materials. SuntheticsML guides every round of experimentation toward the optimal formulation, reaction, or process condition—reducing the number of experiments needed and compressing development timelines from months to weeks. What you can do with SuntheticsML: • Get next-best-experiment recommendations for formulations, reactions, and process conditions • Optimize from as few as a handful of data points—no large dataset required • Improve yield, selectivity, and performance while cutting raw-material and energy consumption • Collaborate across R&D teams on a secure platform with SOC 2 Type II–attested controls and full per-customer data isolation R&D and process teams use SuntheticsML to accelerate development, lower cost-to-discover, and reach better results faster—while keeping their proprietary research data fully protected.