At Quantistry, we’re developing an intuitive, cloud-based chemical simulation software for highly innovative material research and development. Using quantum chemistry and machine learning, our solution is based on a powerful combination of state-of-the-art methods that enables our customers to develop better products in less time.
Thanks to the workflow designer, the Quantistry Lab is extremely intuitive and easy to use for everyone. Of course, an expert mode is also available, which allows you to configure each task individually.
Due to the cloud native architecture of our software, it is always state-of-the-art with respect to both computing resources and the underlying simulation technology. As soon as quantum computers are commercially deployable, our solution can access these resources directly.
Our solution causes only very low initial costs, as there is no need to buy any new hardware. Apart from a low annual basic fee, costs are based only on the computing power consumed. In total, this reduces R&D costs and speeds up product development processes.
If desired, a computational chemist is always available to assist with scientific and technical questions. For project management and business management issues, our account managers will be happy to help.
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Economic
Simulation solutions from Quantistry significantly reduce the costs of your R&D compared to purely laboratory-based development. This is mainly due to savings in laboratory equipment, staff, the purchase of reactants and the disposal of chemical waste.
Functional
By using our simulations, your R&D is target-oriented right from the start by avoiding countless time-consuming development cycles in the laboratory. This significantly shortens the time-to-market of your products and thus provides you with valuable competitive advantages.
Experiential
In contrast to other solutions in the field of Computational Chemistry, our platform is intuitive and easy to use for users of various levels of expertise. The only thing you need is an up-to-date browser. If required, we are happy to support you with integrating our platform into your existing system via our RestfulAPI.
Symbolic
Compared to lab-based R&D, simulations are significantly more sustainable. Firstly, the use of chemical substances is avoided, the production and disposal of which is associated with significant environmental pollution. Secondly, the CO2 footprint is reduced due to the lower energy requirements. And finally, there are no risks to employees, e.g. when handling corrosive or carcinogenic reactants or products.
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The In-silico Prediction of Chemical Reactions project is co-financed by the European Regional Development Fund [ERDF]. The project on which this report is based was able to be carried out because the company received early-stage funding from the state of Berlin as part of the Program for the Promotion of Research, Innovation and Technology - Pro FIT - under application number 10169116 and 10170157. The responsibility for the content of this publication lies with the author.