SynSilico® Launches Agentic INNOptimizer®
Agentic INNOptimizer® is dynamically guiding optimization tasks achieving up to 70% reduction of experiments compared to standard design of experiment tools.
Proven leaders with diverse backgrounds, passion for science and technology, “can do”
spirit and strong service mindset.
Acceleration of R&D by AI++ powered combination of speed and precision.
Web portal, on premise and self-driving lab implementation Multiple seeding strategies, parameter types, surrogate models, acquisition functions and constraints supported Broad visualization/insight tools and highest data security standard (local or AWS(EU) server hosted)
High-throughput pre-screen using reliable ranking algorithms with point mutation resolution
Pharmacophore and chemotype modelling enables throughput of >100million compounds
Partner with us to accelerate your antibody discovery and design efforts based on cutting-edge AI++ pipelines.
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Optimize recipes, formulations or processes faster and better by subscribing to INNOptimizer, our agentic Bayesian Optimization tool.
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Facing a bottleneck? Our AI++ pipelines support enzyme discovery and engineering projects at an unmet speed and precision.
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Discover new taste modulators, flavors, and fragrance compounds with AI++ powered predictive solutions.
Learn moreAgentic INNOptimizer® is dynamically guiding optimization tasks achieving up to 70% reduction of experiments compared to standard design of experiment tools.
As a finalist, we compete for CHF 500k awards, but even more important, we learn from peers and the huge MassChallenge community...
Bayesian Optimization is the most efficient experimental design strategy to optimize, for example, processes, recipes and materials properties. The INNOptimizer® provides easy access for every Scientist dealing with challenging optimization tasks. Via its API the tool can also be integrated in Self Driving Lab applications. If you want to know more about our INNOptimizer®, visit us at our booth during the Signature Event - Big Chemistry on May 28th in Eindhoven.