
About Us
We are a team of passionate engineers dedicated to delivering innovative solutions and exceptional results. Discover our mission, vision, and the people behind our success.
We don't see problems, only opportunities
We are, at our core, problem solvers. By combining advanced simulation, experimental methods, and innovative research, we develop solutions that enable our clients to build better products, reduce risk, and drive meaningful progress in their industries.
To be a unique hybrid where consulting and research fuel each other. Our client projects inspire new research directions, while our research breakthroughs give clients access to methods that haven't yet reached the market. This dual identity allows us to deliver both proven reliability and pioneering innovation.

Francesco and Tomas first worked together as Research Assistants at the Chair of Applied Mechanics at the Technical University of Munich. Guided by this collaboration and a shared vision on advancing engineering practice, they have since shaped their joint activity into the company established in 2023.

Francesco Trainotti
Francesco focuses on advanced methods in experimental and numerical dynamics. His work covers mechanical vibrations, structural and nonlinear dynamics, system identification, and modeling, with specialization in model reduction and dynamic substructuring. At Inventum, he applies these competencies to develop high-fidelity modular workflows that accurately capture machine behavior and support informed, performance-driven product development.

Tomas Slimak
Tomas focuses on advanced methods in high-precision robotics and intelligent control. His work spans machine-learning-assisted simulation, model-based control, manufacturing and humanoid robotics, as well as mechatronic prototyping, including the development of direct-drive actuation. At Inventum, he applies these competencies to create robust, high-performance control and hardware solutions for complex robotic and mechatronic systems.
Our Collaborators
Our collaborators are trusted talented professionals who provide specialized skills across technical and strategic areas.

Dr. Marie Brøns
DTU, Copenhagen
She specializes in structural dynamics, integrating modeling, simulation, and experimental testing to characterize linear and nonlinear vibration behavior, with applications in wind turbines, bolted assemblies, and other engineering structures operating under significant dynamic loads.

Dr. Jacob Rasmussen
DTU, Copenhagen
He applies expertise in finite elements, numerical methods, multibody dynamics, and tribology to develop reliable predictive models of complex mechanical systems, with applications in engine dynamics, rotordynamics, and high-performance machinery subjected to demanding operational conditions.

Dr. Valentin Sonneville
ULiège, Liège
He develops advanced numerical tools for flexible multibody systems, combining nonlinear dynamics, efficient finite element formulations, and optimization strategies, with applications in robotics, rotorcraft, and deployable space structures requiring accurate dynamic performance assessment.

Dr. Paolo Tiso
ETH, Zurich
He focuses on nonlinear structural dynamics, finite element analysis, substructuring, and model order reduction to create fast and robust predictive models, with applications in aerospace systems, energy devices, and high-performance mechanical equipment exposed to complex vibratory environments.

Dr. Alessandra Vizzaccaro
University of Exeter, Exeter
She develops mathematical and data-driven tools for dimensionality reduction, nonlinear vibrations, system identification, and surrogate modeling, with applications in aerospace structures, semiconductor devices, and fusion-energy technologies demanding efficient analysis of large-scale numerical models.

Dr. Andreas Zwölfer
TUM, Munich
He advances modeling and simulation by integrating classical and data-driven methods for flexible multibody dynamics, nonlinear finite element, and model reduction, with applications in industrial machinery, robotics, and multiphysics systems requiring efficient, high-fidelity dynamic analysis.
