Foundation of DeepSynergy.AI GmbH: Innovation out of necessity | est. 2023
Modern production planning is facing increasingly complex challenges. Fluctuations in capacity utilization, inefficient use of resources and the growing urgency to find sustainable solutions require new approaches. DeepSynergy.AI was founded in 2023 to solve precisely these problems. Our goal: An AI-based software service that empowers companies to digitize, automate and optimize complex planning processes while promoting efficiency, flexibility and sustainability by providing highly optimized production plans.
The birth of DeepSynergy.AI: Challenges as an impulse
Matthäus Niedermeier, now Co-CEO of DeepSynergy.AI, worked as a process engineer in a company that processed several thousand orders a day. He encountered recurring problems:
- Uneven utilization of departments, which led to production delays.
- Simplistic planning approaches, such as fixed machine allocations, which fell well short of the mathematical optimum.
- High pressure to adapt in order to react to short-term changes.
“The situation was frustrating,” recalls Matthäus. “Specialists were brought in, but the complexity seemed insurmountable using conventional methods.” These experiences laid the foundation for a revolutionary idea: a software service that uses highly optimized production plans to enable companies to efficiently master highly complex planning processes without moving away from the mathematical optimum with simplifying measures.
Our vision: Rethinking planning
Together with Dominik Eibl, an expert in planning processes, Matthäus Niedermeier developed the vision of DeepSynergy.AI. One goal is to go beyond the limits of existing planning techniques and create a solution that manages complexity without sacrificing efficiency or flexibility.
“We have recognized that modern AI technologies in combination with special metaheuristic algorithms are crucial tools for optimizing complex planning processes,” explains Matthäus Niedermeier, Co-CEO of DeepSynergy.AI.
The right tools are selected from this specialized tech stack for every customer and every planning problem:
- Artificial intelligence (AI): Data Augmentation (kNN, Gradient Boosting, NN), Data Generation (kNN, Gradient Boosting, NN), Problem Dimensionality Reduction (via Autoencoder), Optimization Process (via Deep Reinforcement Learning Agent).
- Digital twins: To correct probabilistic inaccuracies through dimensionality reduction.
Technology and expertise: the founding team of DeepSynergy.AI
DeepSynergy.AI is based on a unique combination of theory and practice:
- Matthäus Niedermeier (B.Eng.): His practical experience as a process engineer and his studies in Applied Artificial Intelligence form the basis for the technical excellence of DeepSynergy.AI.
- Dominik Eibl (M.Eng.): With in-depth knowledge of planning processes and business development, he ensures that the software can be seamlessly integrated into operational processes.
This synergy has enabled the two of them to develop a software service that is not only technologically innovative, but also practical.
How DeepSynergy.AI is revolutionizing production planning
DeepSynergy.AI Production Planning provides companies with a powerful solution that:
- Increases efficiency: Optimized plans use resources such as machines, materials and personnel more efficiently.
- Increases flexibility: reacts quickly to unforeseen changes.
- Promotes sustainability: economically, ecologically and socially – holistically.
„We have developed software that almost achieves the mathematical optimum without disrupting operational processes,” says Dominik Eibl. Companies benefit from holistic planning that increases efficiency and creates competitive advantages.
Conclusion
DeepSynergy.AI was founded on the conviction that modern technologies such as AI are the solution to the growing complexity of planning. By combining Matthäus Niedermeier’s experience in artificial intelligence and Dominik Eibl’s expertise in planning processes, the founders offer a unique solution that combines efficiency, sustainability and flexibility.
