Geminus: Accelerating Industrial Autonomy with Physics-Informed AI

Geminus

Geminus combines physics and AI for real-time decisions, maximizing productivity and achieving ROI in weeks. Explore its features and potential.
Geminus: Accelerating Industrial Autonomy with Physics-Informed AI

Geminus: Revolutionizing Autonomous Industrial Operations with Physics-Informed AI

Geminus is at the forefront of transforming industrial operations with its innovative physics-informed AI approach. In an era where AI trained solely on data comes with high costs, extended timelines, and significant resource demands, delaying the return on investment (ROI) for years, Geminus offers a game-changing solution.

The traditional physics-based simulations, while potentially predictive, are computationally intensive and require deep domain expertise, limiting their practicality for real-time operational decisions. Geminus overcomes these challenges by combining simulation with deep learning, enabling real-time decision-making and achieving ROI in a matter of weeks.

One of the key features of Geminus is its autonomous systems, which possess self-optimizing and self-healing capabilities. This maximizes productivity while minimizing emissions, contributing to a more sustainable and efficient industrial process.

The model predictive control offered by Geminus utilizes evergreen, purpose-built AI models that facilitate widespread automation. Additionally, the dynamic system digital twins provided by Geminus allow for fully explorable AI models with instant what-if scenarios and control recommendations.

Geminus models use the system's physics for training, resulting in far more accurate predictions compared to models that rely solely on process data. This unique approach, along with the first-to-market breakthrough advancements in machine learning and sparse data techniques, compresses the time to value for AI from months or even years to just weeks.

Furthermore, Geminus' models rely on first principles training sources and feature uncertainty quantification, providing explainable and trustworthy recommendations.

The partnership between SLB and Geminus is a testament to the potential of this technology in transforming the energy industry. Together, they are working towards optimizing productivity and emissions in complex systems, paving the way for a more sustainable future.

In conclusion, Geminus is not just an AI tool; it is a revolutionary force that is driving the acceleration of autonomous industrial operations and shaping the future of various industries.

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