DimensionLab's Siml.ai platform accelerates engineering simulations using AI, reducing virtual prototyping from months to hours. It provides a web-based interface for training AI simulators and running complex CFD and physics-based analyses, making advanced simulation accessible and enabling faster design cycles.
Funding
$1M 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.
Founders
Product
Problem
Traditional engineering simulations are time-consuming, often taking months for virtual prototyping across industries like automotive, aerospace, and energy. This lengthy process hinders rapid design iteration and the development of future technologies.
Solution
DimensionLab's Siml.ai platform accelerates engineering simulations by integrating advanced AI techniques, reducing virtual prototyping timelines from months to hours. The platform offers a web-based interface for both training AI simulators and running complex simulations, making advanced computational fluid dynamics (CFD) and other physics-based analyses more accessible. By leveraging deep learning, Siml.ai enables interactive visualization and faster design cycles, democratizing access to powerful simulation tools for a wider range of engineers and researchers. The platform also manages the complexities of cloud and High-Performance Computing (HPC) infrastructure, allowing users to focus on design rather than computational setup.
Target Audience
The primary users are engineers and researchers in industries such as automotive, aerospace, and biomedical, who require faster and more accessible simulation capabilities for virtual prototyping and product development.
Features
- **Model Engineer:** A web-based application for training and optimizing physics simulators using deep learning techniques.
- **Dataset Management:** Tools for constructing large datasets from classical simulation exports or physical sensor data.
- **Model Architecture Development:** A code editor for customizing model architectures to specific capabilities and physical constraints.
- **Automated HPC:** One-click access to GPU-powered cloud or HPC centers for training and optimizing simulators without manual infrastructure management.
- **Simulation Studio:** A component for leveraging trained AI simulator models to solve engineering and scientific problems by creating interactive, physics-driven digital twins.
- **Accelerated Inference:** Achieves simulation speedups of 1,000-100,000x compared to traditional GPU-based simulation software through neural network inference.
- **Real-time Visualization:** Enables interactive "in-situ" visualization with simulation timesteps computed in milliseconds.
- **Unreal Engine Integration:** Utilizes Unreal Engine for high-fidelity, cutting-edge 3D visualization of simulation data.
- **Web-based Platform:** Accessible via a web interface, eliminating the need for local installations or platform-specific limitations.
- **Scalable Infrastructure:** Manages cloud and HPC infrastructure complexities for seamless scalability.