20,000+ ready-to-use equations
From equations to executable, verifiable engineering models - combining domain knowledge and machine learning
Build engineering models you can trust. Without the manual overhead.
Build. Share. Document. Reuse.
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Turn validated models into reusable components across projects and teams.
Every equation, transformation, and assumption stays visible and auditable. No black boxes.
Units don’t disappear. Assumptions don’t hide in comments. Logic stays traceable.
From textbook equations to executable, shareable workflows. Without losing rigor.
I've been working with DCS Computing successfully since 2021. The idea of engicloud.ai is perfect, and I can't believe they built exactly it when I needed it.
engicloud.ai acts like an autonomous research assistant, parsing academic literature, verifying units, and converting formulas into clean Python code. It lets my group at TU Graz integrate data-driven AI closures with mechanistic simulation on a single visual canvas, eliminating fragmented code silos and accelerating our research.
Build your first model.
Search 20,000+ equations, connect them into a workflow, and run it.
One place for all your simulation models with python - from physics, engineering and science models & equations to digital twins for your products & processes.
Transform how your team builds, automates, and collaborates on complex engineering logic. Harness advanced machine learning to streamline workflows, accelerate innovation, and make scientific expertise actionable—no coding required.
Use LLMs to generate new python-based models or use our AI assistant to generate physics-based modelling workflows
Make live API calls to LLMs and use the output in your models
Use ML methods for predictions
Explore detailed responses to common questions about our deeptech SaaS platform, node-based engineering workflows, and collaborative features. Learn how our tools support scientific and engineering teams in executing complex logic and data-driven projects.
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