SynSilico® Launches SynTaste™
SynTaste™ opens new opportunities for the food and flavor industries to accelerate innovation, reduce development costs, and explore novel taste solutions with unparalleled precision.
Proven leaders with diverse backgrounds, passion for science and technology, “can do”
spirit and strong service mindset.
Accelerate your research with AI-driven automated workflows validated by the scientific
community for their predictive performance.
We use data science and programming to create automated workflows, integrating the latest AI models rigorously validated by the scientific community for their predictive performance...
Our own server and supercomputer provides cost-effective computational power, running over 500.000 in silico docking experiments per month with top-tier data security...
Our chemical and biological expertise, coupled with the option for wet lab experiments, enables thorough validation of our in silico predictions, ensuring reliable and accurate results...
Accelerate your research with AI-driven automated workflows validated by the scientific community for their
predictive performance
Accelerate your drug discovery process with cutting-edge AI solutions that streamline research and development.
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Predict polymer performance and speed up developments with advanced AI models tailored to your needs.
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Fast-track enzyme discovery with AI-driven tools that optimize and enhance your innovation capabilities.
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Discover new taste modulators, flavors, and fragrance compounds with AI-powered predictive solutions.
Learn moreSynTaste™ opens new opportunities for the food and flavor industries to accelerate innovation, reduce development costs, and explore novel taste solutions with unparalleled precision.
SynSilico's computational enzyme engineering capabilities together with InnoSyn's biocatalysis expertise at scale is capturing the full potential of enzymes.
INNOptimizer is using latest Bayesian Optimization algorithms and a broad set of analytical tools to guide optimizations with minimum experimentation needed