Augur

About Augur

Augur offers an AI simulation platform that accelerates engineering design cycles with ultra-fast, high-fidelity simulations. It trains adaptable AI solvers using existing engineering data, enabling rapid exploration of design variations and reducing computation time from days to minutes. The platform supports on-premise deployment for IP security and handles large-scale simulations efficiently.

<problem> Traditional numerical simulations for complex industrial processes require significant computational resources and time, often taking hours or days on HPC clusters. This extended computation time limits the number of design iterations engineers can explore, and the need to handoff between multiple solvers for multi-physics phenomena creates bottlenecks. Furthermore, valuable in-house simulation datasets are often underutilized, failing to contribute to the development of accurate surrogate models. </problem> <solution> Augur provides an AI simulation platform designed to accelerate design iteration cycles through ultra-fast simulations. The platform leverages existing engineering data to train adaptable AI solvers, enabling rapid exploration of design variations with exceptional accuracy. Augur's solution allows for on-premise deployment, ensuring intellectual property retention and control. It efficiently handles large-scale simulations, even on meshes with millions of cells, by avoiding complex pre-processing and mesh coarsening. The platform's data-efficient approach allows for the training of high-fidelity AI models with as few as 25 training samples, transforming underutilized datasets into powerful, in-house expert simulation tools. </solution> <features> - AI-driven simulation platform for ultra-fast computation of complex multi-physics phenomena. - Training of adaptable AI solvers using existing engineering datasets, enabling high-fidelity surrogate models. - On-premise SaaS deployment for enhanced IP security and control. - Scalable simulation capabilities for meshes containing millions of cells, minimizing pre-processing requirements. - Data-efficient training allowing accurate predictions from as few as 25 training samples. - Flexible import of CAE data, including STEP, IGES, and STL formats. - Automated training platform for building AI models on existing infrastructure. - Real-time analysis and scenario variation testing through advanced visualization tools. - Continuous model evolution as new cases are applied, accumulating knowledge across various scenarios. </features> <target_audience> The primary target audience includes engineering departments and product development teams within industries that rely on complex numerical simulations for design and optimization. </target_audience>

What does Augur do?

Augur offers an AI simulation platform that accelerates engineering design cycles with ultra-fast, high-fidelity simulations. It trains adaptable AI solvers using existing engineering data, enabling rapid exploration of design variations and reducing computation time from days to minutes. The platform supports on-premise deployment for IP security and handles large-scale simulations efficiently.

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Augur

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Executive Summary

Augur offers an AI simulation platform that accelerates engineering design cycles with ultra-fast, high-fidelity simulations. It trains adaptable AI solvers using existing engineering data, enabling rapid exploration of design variations and reducing computation time from days to minutes. The platform supports on-premise deployment for IP security and handles large-scale simulations efficiently.

Funding

No funding information available.

Team

No team information available.

Company Description

Problem

Traditional numerical simulations for complex industrial processes require significant computational resources and time, often taking hours or days on HPC clusters. This extended computation time limits the number of design iterations engineers can explore, and the need to handoff between multiple solvers for multi-physics phenomena creates bottlenecks. Furthermore, valuable in-house simulation datasets are often underutilized, failing to contribute to the development of accurate surrogate models.

Solution

Augur provides an AI simulation platform designed to accelerate design iteration cycles through ultra-fast simulations. The platform leverages existing engineering data to train adaptable AI solvers, enabling rapid exploration of design variations with exceptional accuracy. Augur's solution allows for on-premise deployment, ensuring intellectual property retention and control. It efficiently handles large-scale simulations, even on meshes with millions of cells, by avoiding complex pre-processing and mesh coarsening. The platform's data-efficient approach allows for the training of high-fidelity AI models with as few as 25 training samples, transforming underutilized datasets into powerful, in-house expert simulation tools.

Features

AI-driven simulation platform for ultra-fast computation of complex multi-physics phenomena.

Training of adaptable AI solvers using existing engineering datasets, enabling high-fidelity surrogate models.

On-premise SaaS deployment for enhanced IP security and control.

Scalable simulation capabilities for meshes containing millions of cells, minimizing pre-processing requirements.

Data-efficient training allowing accurate predictions from as few as 25 training samples.

Flexible import of CAE data, including STEP, IGES, and STL formats.

Automated training platform for building AI models on existing infrastructure.

Real-time analysis and scenario variation testing through advanced visualization tools.

Continuous model evolution as new cases are applied, accumulating knowledge across various scenarios.

Target Audience

The primary target audience includes engineering departments and product development teams within industries that rely on complex numerical simulations for design and optimization.

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