We met at the Computer Graphics chair at RWTH Aachen University, a highly regarded research group in geometry processing. During our PhD work, we focused on robust boolean operations, exact arithmetic, and high-performance mesh processing: the kind of problems that are mathematically demanding, but only become truly valuable when they hold up in real software.
Philip and Julius published foundational research on exact mesh booleans, and together with the rest of the team, we published extensively across geometry processing, computer graphics, and high-performance computing.
Over time, we became convinced that the most important work was no longer staying in academia, but bringing these results into industry. There is still a wide gap between what research prototypes can demonstrate and what production geometry software can be trusted to do day after day.
That gap is where many tools fail. Robust geometric operations have been studied for decades, yet commercial geometry kernels still break on edge cases, produce inconsistent output, and force teams to build fragile pipelines around them.
Solidean is our answer to that problem: an infrastructure-level geometry kernel that carries serious theoretical foundations into production-grade engineering. We are taking results that usually remain confined to papers and research code, and turning them into software that is robust, fast, and reliable enough to build real products on.