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Quanscient

Quanscient provides the Allsolve platform for powerful and scalable multiphysics simulation, enabling engineers to tackle demanding design challenges in areas like MEMS and superconductors. This platform utilizes proprietary algorithms and cloud scaling to accelerate simulation runtimes by over 100x compared to traditional tools. Furthermore, it integrates Physics-aware Artificial Intelligence for rapid design space exploration and offers a comprehensive API for workflow automation.

Tampere, FinlandFounded 2021
Updated 2 months ago

Funding

$22.7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

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Founders

Founder details are not available yet.

Product

Problem

Traditional multiphysics simulation software often requires significant computational resources and time, creating bottlenecks in the design and development processes, particularly for complex systems. The need for specialized hardware and software setups can also limit accessibility and collaboration among teams.

Solution

Quanscient Allsolve is a cloud-based multiphysics simulation platform designed to provide scalable and accessible simulation capabilities. By leveraging cloud computing and the Domain Decomposition Method (DDM), the platform enables users to run complex simulations with significantly reduced runtimes compared to traditional methods. The browser-based interface eliminates the need for local hardware and software installations, facilitating real-time collaboration and easy access for teams of any size. Quanscient Allsolve supports a comprehensive range of physics, including electromagnetics, thermal analysis, mechanics, fluid dynamics, and acoustics, allowing for the simulation of diverse engineering applications. The platform's Python scripting interface provides extensive customization options and access to multiphysics script libraries, enhancing the flexibility and control over the simulation process.

Target Audience

The primary target audience includes engineers, researchers, and designers in industries such as MEMS, high-temperature superconductors, and other sectors requiring multiphysics simulations.

Features

  • Cloud-based platform accessible through a web browser, eliminating hardware and software setup requirements
  • Domain Decomposition Method (DDM) for parallel processing, enabling faster simulation runtimes
  • Support for a wide range of physics, including electromagnetics, thermal analysis, mechanics, fluid dynamics, and acoustics
  • Python scripting interface for customization and automation of simulation workflows
  • Built-in model import and editing capabilities
  • Material management tools for applying existing materials or defining new ones
  • Automatic mesh generation and import options
  • 3D post-processing, visualization, and data export functionalities
  • Secure cloud storage for data and project management
This profile is AI-generated and may contain inaccuracies.