Geminus develops physics-informed AI that integrates simulation with deep learning to enable real-time operational decisions in industrial settings. This approach significantly reduces the time to achieve return on investment from years to weeks, while enhancing predictive accuracy and minimizing resource demands.
Funding
$18.9M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
LRSLFounders
Product
Problem
Traditional AI systems in industrial settings often require extensive data and computational resources, leading to long deployment times and delayed return on investment. Physics-based simulations, while predictive, demand deep domain expertise and are computationally intensive, limiting their use for real-time operational decisions.
Solution
Geminus offers a physics-informed AI platform that combines physics-based simulations with deep learning to enable real-time operational decisions in complex industrial environments. By integrating these approaches, Geminus significantly reduces the time to achieve ROI, enhancing predictive accuracy and minimizing resource demands. The platform creates dynamic system digital twins, enabling users to explore "what-if" scenarios and receive control recommendations. Geminus's models leverage system physics for training, resulting in more accurate predictions compared to models relying solely on process data.
Target Audience
Geminus primarily targets industrial enterprises seeking to optimize complex systems, including those in the oil and gas, space, defense, semiconductor, utilities, and renewable energy sectors.
Features
- Physics-informed AI models that integrate simulation with deep learning
- Dynamic System Digital Twins for real-time scenario exploration
- Model Predictive Control for widespread automation
- Autonomous Systems capabilities for self-optimization and self-healing
- Uncertainty quantification for trustworthy recommendations
- Rapid model creation, deployment, and retraining
- Compatibility with various industrial sectors, including Oil & Gas, Space, Defense, Semiconductors, Utilities, and Renewable Energy