ModelForge
Recommendation Systems for Chemical Plants
Brief Description
ModelForge offers process optimization tools used in large-scale industry to small and medium-sized enterprises (SMEs) as well. Unlike other tools, our software solution is tailored to the customer’s specific problem, is easy to use, and requires no prior knowledge.
Functional Description
The latest findings from AI research enable us to quickly and automatically create precise models for the customer’s process. These models are then used to optimize operations.
Benefits of the Idea (USP)
ModelForge offers a platform that allows users to fully realize the optimization potential of existing facilities. This can reduce both the operating costs and the environmental impact of a process. Optimization requires only a small amount of process data and a defined objective. Our software handles the rest.
Vision
At ModelForge, we’ve made it our mission to unlock the full potential of chemical processes. By consolidating all relevant metrics required to describe these complex processes into a single, AI-powered solution, we ensure that companies can achieve optimal operation quickly and easily—from scenario analysis to continuous process optimization in day-to-day operations.
Unique Selling Proposition
Our new approach combines a deep understanding of processes with state-of-the-art AI methods. This enables us to create digital twins of plants with just a small amount of data and minimal effort—digital twins that also offer exceptionally high predictive accuracy. In this way, we generate real added value for our customers in the shortest possible time and with minimal effort.
Team
Behind ModelForge are the founders Innokentij Bogatykh, Gerardo Brand Rihm, and Teslin Roys. Together, they bring a comprehensive range of expertise in process engineering, AI models, and computer science.
Contact
ModelForge GmbH
Werner-von-Siemens-Str. 6
86159 Augsburg
Building 17 III - Entrance 18
Team Mentors
Contact Person Prof. Dr. Jianing Zhang | |
School of Business | |
Phone: | +49 821 5586-2973 |
