Pioneering the Pace of Industrial Innovation through Generative Engineering

At Geminus we are creating new standards for engineering by fusing generative AI with the latest advances in computational physics and data science.

Fuse Multiple Information Sources for Efficient Training of High Performance Models

Our Multi-Fidelity approach fuses multiple information sources—both models and data—to achieve the perfect balance between accuracy, confidence, and cost. By integrating various levels of model fidelity, we ensure that our solutions are both reliable and efficient, catering to the most complex engineering needs.

Accurate Predictions  Forecasting Optimization Even with Imperfect Data

Adaptive Learning for complex data environments

Geminus’s Adaptive Learning capabilities allow for the creation of highly accurate models even in the most challenging data environments. Our platform adapts to the available data, enabling robust model training and performance under real-world conditions, ensuring that your operations are always optimized.

Uncertainty Management for Trust and Robust Decision Making

In engineering, uncertainty can be a significant barrier to confidence and success. Our Probabilistic Modeling approach ensures that uncertainties are accounted for throughout the model lifecycle, providing invaluable trust, supporting complex decision-making, and constructing efficient models.

Augmenting Physics
with AI for Enhanced Accuracy

Embedded AI within the Geminus platform allows for the augmentation of traditional physics-based models with data and machine learning operators. This integration delivers high accuracy even with low data availability or computational costs, making our solutions both effective and resource-efficient.

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