Machine learning algorithms can automate manual routine tasks that require an intuitive understanding of engineering patterns. This enables engineers to focus on creative and value-added work.
Automate modeling and meshing processes to save time and enable parametric design exploration and optimization.
Build a safety net for your engineering tasks with automated plausibility checking, simulation monitoring and result filtering.
Streamline your product development process by incorporating manufacturability and cost information early in the design process.
We analyze your engineering process together and identify suitable tasks for ML-based automation.
We adapt our state-of-the-art algorithms for geometry understanding to your use case.
We develop a mockup for the new ML-based app or services and assist you in defining the business case.
We deploy a prototype of the new app or services in the cloud or on premise to quickly gather user feedback.
We define strategies and processes and build tooling to generate, augment and annotate your training data.
We use a container-based architecture to integrate the app into your IT infrastructure.
We are passionate about deep learning and engineering. We love working with motivated engineering teams across industries and are continously pushing the boundaries of AI-assisted engineering.