
Quanscient
Simulation-as-a-Service platform helping to get the product to the market faster.
USD | 2022 | 2023 |
---|---|---|
Revenues | 0000 | 0000 |
% growth | - | 126 % |
EBITDA | 0000 | 0000 |
Profit | 0000 | 0000 |
EV | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x |
R&D budget | 0000 | 0000 |
Source: Dealroom estimates
Related Content
Quanscient is a tech startup that operates in the field of quantum computing and simulation. It offers a product called Quanscient Allsolve, a tool designed to perform advanced 3D superconductor simulations. The tool is particularly beneficial for researchers and professionals who need to run complex simulations quickly and accurately.
Quanscient's primary market is academia and industries that require high-level computational analysis, such as engineering and product development. Their clients range from university professors to CAE consultants and co-founders of tech companies.
The business model of Quanscient revolves around providing a service that significantly reduces the time taken to run complex simulations. By using Quanscient Allsolve, clients can complete simulations in less than a day that would typically take a week. This efficiency is achieved through the use of cloud computing, which allows for efficient scaling.
In addition to time-saving, Quanscient also offers the potential for cost-saving. For instance, one client reported saving three months in product development time by using Quanscient Allsolve to test different parameters and find the working design from the first iteration.
Moreover, Quanscient is exploring the use of quantum computers to solve partial differential equations. This is a promising development, particularly in cases where small-scale dynamics are crucial in capturing large-scale phenomena.
In terms of revenue, Quanscient likely makes money by selling access to Quanscient Allsolve and possibly offering consulting services related to its use.
Keywords: Quantum Computing, Simulation, 3D Superconductor Simulations, Cloud Computing, Academia, Engineering, Product Development, Time-saving, Cost-saving, Partial Differential Equations.