Tame the physics of your
projects in hours!

SIML.ai is a software platform for working with
high-performance AI-based numerical simulators.

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Physics & AI

SIML.ai combines state-of-the-art machine learning with physics simulation.

Fast

AI-based simulators responds to your input in real-time, which means interactive visualization.

Web-based

No need to install anything or be limited to specific platforms. Everything happens through web interface.

Painless scalability

Our platform deals with the complexities of setting up cloud or HPC infrastructure for you.

Vast majority of technologies in the world come to life through months or years of extensive simulation during their development.

High-performance computing, parallel processing and GPUs helped push the computation time from months to weeks. With the help of applied machine learning, we are seeing a reduction from weeks to days. We think that’s not enough.

At DimensionLab, we are building tools for engineers and researchers to tame the physics of their projects in hours. Collectively, they make up a cohesive platform we call SIML.ai.

Under the hood, SIML.ai consists of two parts - Model Engineer and Simulation Studio.

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Simulation Studio

Hybrid web and native application for solving engineering and scientific problems leveraging pre-trained and optimized learned simulators.

Superfast

Simulations are computed by inferring trained neural network models, achieving speedups up to 2 orders-of-magnitude compared to classical simulation software running on GPUs.

Interactive "in-situ" visualization

The time it takes to compute one timestep even of highly irregular simulation domain is in low tens of milliseconds, resulting in real-time visualization of simulating physical phenomena.

Unreal rendering performance

High-fidelity visualization rendering is achieved by leveraging the powerful Unreal Engine under the hood.

Virtual reality

Immerse yourself into the running simulation and gain detailed insights by slicing through geometries with your hands or instantly see measurements by pointing your fingers.

Expected release: Q4 2022
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Model Engineer

Train and optimize general-purpose learnable simulators using deep learning techniques through Model Engineer web application.

Datasets management

Construct large datasets from classical simulation exports or physical sensors that collect precise measurements from real-world experiments.

Building blocks

Quickly develop the model architecture for the simulators’ desired capabilities and physical constraints.

High performance computing, automated

Train and aggressively optimize learnable simulators in high-performance, GPU-powered cloud or HPC centers without the need to deal with the complexities of managing the cloud infrastructure.

Expected release: Q4 2022

We believe in the democratization of scientific-grade simulation tools by making it easy for anyone to develop physics-based simulations and deploy them in their workflows, regardless of their technical skills.

Be the first to try the platform!

Help us test the product, send feedback and get free access for a month after we launch!

Interested in funding us?

Drop us an email an we'll send you our pitchdeck.