Chemical & Process Engineering
From reactor simulation to steam dryer systems, model complete plant-level chemical processes with Cantera-powered kinetics and coupled subsystems.
A Python-based simulation platform for engineers and scientists. The interface
is a graphical canvas that works like a block diagram: connect models, run
them, and iterate as you go. It runs entirely in the browser.
engicloud.ai holds the models your team relies on, the workflows that connect them, and the record of how each one was built. Nothing to install
locally, no license to manage.
Make live API calls to databases, LLMs and ML tools, spreadsheets, and other simulation software, and use the results inside your own models.
Curate what your team keeps and deploy it publicly or privately. Share a project and build on it together with your collaborators.
It is the newest product in our portfolio, alongside Aspherix®, CFDEM®coupling, and LIGGGHTS®.
From reactor simulation to steam dryer systems, model complete plant-level chemical processes with Cantera-powered kinetics and coupled subsystems.
From Hall-Petch grain refinement to Materials Project database screening, predict, analyze, and optimize material properties at every scale.
Model lithium-ion batteries, size solar panel systems, and simulate coal power plant Rankine cycles, from component level to full plant.
Model scramjet engines at five levels of fidelity, from generic flow topology to 1-D reactor combustion with real gas thermodynamics.
Simulate particle attrition, drug dissolution, and material property extraction, all within a unified modeling environment.
Compute strain from applied stress using rheological moduli and elapsed time, or calculate hydromechanical state variables and hardening parameters
for advanced constitutive soil models.
Typed, tested Python functions
A Python function with typed inputs and outputs, units, documentation, and version history. Runs with NumPy, SciPy, and pandas, plus domain libraries like pvlib and CoolProp. A calculator can also be an API call, to a database, a spreadsheet, an LLM, or another simulation tool. Experts write the code. Anyone on the team runs it from the GUI.
Visual node canvas
Connect calculators on a drag-anddrop canvas, or let the AI workflow composer suggest how to connect them. Outputs of one feed inputs of the next, and you can feed outputs back as inputs to iterate towards a steady state.
Share with your group
Deploy projects publicly or privately to an access-controlled library. Version, fork, and collaborate, so modeling work
becomes shared knowledge.
Start from published literature
Most models trace back to a cited
equation. The source stays explicit, so the result is checkable. Semantic Search finds models by what they do, not by filename.
Private calculators and projects stay in your library with per-project access control. You decide who can view, run, or edit. Proprietary process logic stays private while your team draws on the public library.
All project data is stored on servers residing in Germany.
No. engicloud.ai works at the modeling layer: equations, low-order models, and the models your team reuses across projects. Keep Aspherix® and CFDEM®coupling for particle and coupled CFD-DEM simulation.
engicloud.ai serves as the calculation backbone in two European research projects.
We are glad to discuss and help you build it.