Physics-based simulations in mechanical engineering are often computationally intensive and time-consuming, leading to bottlenecks in product development and delayed product launches. These simulations can also require significant computing resources, increasing costs for engineering teams.

Optineura AI offers a deep learning platform designed to accelerate and streamline mechanical engineering simulation workflows. By leveraging existing Computer-Aided Engineering (CAE) datasets with state-of-the-art deep learning models, the platform significantly reduces computation times, enabling real-time analysis and faster design iterations. The platform provides instant design recommendations, eliminating the need for lengthy optimization processes and empowering engineering teams to maximize product performance. Optineura AI's models allow users to visualize the impact of new designs in seconds, facilitating quicker decision-making and improved product outcomes.

Deep learning-based acceleration of physics-based simulations

Physics-informed neural networks for accurate predictions

Real-time analysis and visualization of simulation results

Instant design recommendations to enhance product performance

Integration with existing Computer-Aided Engineering (CAE) datasets

Reduction of computation times from hours to seconds

The primary target audience includes hardware and simulation engineering teams involved in product development and engineering verifications across various industries.