Quantum on Demand
Chemical Simulations as a Service
Quantum on Demand is a SaaS solution for chemical and biochemical predictions based on AI, machine learning and quantum chemical simulations for the chemical and pharmaceutical industry.
With our easy to use web application, everybody can leverage the power of chemical and biochemical simulations – without being an expert in simulations or having the necessary infrastructure.
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Our RESTful API is the corner stone of Quantum on Demand. It gives you full access to the power of our simulation framework. With our API, you can easily integrate our solution into your own software.
Do you want to get access to our API? Get in touch!
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We combine state of the art prediction methods from the fields of quantum chemistry, molecular mechanics, cutting edge AI algorithms and experimental data to deliver the fastest and most accurate predictions possible.
Quantum Chemical Simulations
Artificial Intelligence & Machine Learning
Frequently Asked Questions
What can I do with Quantum on Demand?
With Quantum on Demand, you can predict parts of your lab experiment to reduce costs and accelerate your R&D to decrease the time to market of your new products.
What can I predict with Quantum on Demand?
With Quantum on Demand, you can easily predict chemical and physical properties of chemical and biochemical compounds. The current feature set includes, among others, spectra (IR, UV/Vis, NMR), structures, thermodynamics and reactions. This feature set is constantly extended. If you are interested in any further properties and predicions, do not hesitate to contact us.
How can I use Quantum on Demand?
Quantum on Demand can be used in various ways. You can use our product via our easy to use web application. As an alternative, we provide a RESTful API, so that Quantum on Demand can be integrated into any software, for example into your electronic lab journal or lab devices.
Das Projekt Quantum on Demand wird im Rahmen des EXIST-Programms durch das Bundesministerium für Wirtschaft und Energie und den Europäischen Sozialfonds gefördert.