Geminus.ai launches first of its kind predictive intelligence platform
Summary
The product allows users to leverage key information on hand, such as low- and high-fidelity simulation, as well as real-world data, to efficiently create high performing predictive models that can be used for a variety of use cases including process design and control optimization. Compared to conventional physics-based alternatives, Geminus improves ROI with faster, more effective models, reducing the risks of bad decision making. “We believe that AI in its current form will struggle to deliver ROI in complex systems that cannot tolerate insufficient accuracy and dynamically change over time. For example, our models can power digital twins that predict the behavior of highly complex processes, and enable increased productivity, at a level that does not yet exist today,” said Greg Fallon, CEO of Geminus.ai. The Geminus platform uses novel, physics-informed AI computing to translate constraints of the physical world inside resilient digital models.