Turn complex physics and AI into products engineers actually use. Bridge simulation, software and industrial processes to change how engineers understand and optimize production.
At GREEN14, we are building a new generation of simulation technology for complex industrial processes.
Our team combines multiphysics models, machine learning and experimental process data to understand systems such as plasma reactors and high-temperature metallurgical processes.
We can build sophisticated models and fast surrogates. But for that technology to matter outside a research environment, a process engineer needs to be able to use it.
That is where you come in.
WHAT WE ARE BUILDING
GREEN14 started five years ago with a mission to help Europe develop emission-free production of critical raw materials using hydrogen plasma.
Today, we operate a full-scale plasma reactor in Stockholm. Alongside it, we have built capabilities in multiphysics simulation, AI and surrogate modelling.
Our ambition is to connect experiments, physics, simulation, surrogate models and optimization into a continuous learning process, and make that capability accessible to the engineer actually running the process.
Imagine an engineer trying to understand why yield has changed, how temperature is distributed inside a reactor, what happens if gas flow increases, or which operating parameters could produce a desired output.
They should not need to understand our solver architecture or write Python. They should be able to explore the process.
That is the product we want you to help us build.