You Have Questions? We Have Answers
All your project data is stored on servers residing in Germany
engicloud.ai is developed by DCS Computing GmbH, located in Austria / Europe, a global leader in modelling & simulation solutions. See our About Us Page for more information
This is how Machine Learning techniques support the user within engicloud.ai to:
- Generate python implementations from PDFs and scientific papers.
- Build physics-based models through natural language conversation,
It's your link between AI and physics—grounded, explainable, and executable.
engicloud.ai augments your existing library—20,000 equations you didn't have to build. Also, you can also port your custom Python code into reusable calculators, store material parameter for re-use, and share models across teams. If you’d like to use an LLM such as ChatGPT, Claude or Gemini to translate your existing code into the flavor of python, please refer it to our platform documentation under the section concepts / calculators.
No vendor lock-in. The calculator code is standard Python code that runs anywhere. Export equations, interact via API, or copy implementations into your own codebase. The code is yours to use however you need.
Absolutely. The platform supports workflow building by chaining equations together for multi-step calculations. Our AI assistant helps design modeling workflows, letting you combine physics-based models, database lookups, and even live LLM calls into cohesive computational pipelines.
Every equation is curated from established engineering literature, follows consistent implementation patterns, and has been validated against known solutions. Unlike raw AI outputs, these are auditable building blocks you can trust and unit-test.
Yes. Our AI semantic search finds equations by description, not just keywords. Describe what you need (e.g., "pressure drop in a pipe" or "heat dissipation from a cylinder") and get relevant matches instantly, even across different engineering domains that use different terminology for the same physics.
Our AI workflow composer lets you design whole simulation workflows from the calculators in our database.
No setup required. engicloud.ai provides production-ready Python code with type hints, docstrings, and NumPy support. Copy and run—or use directly within the platform's workflow builder. Every implementation follows consistent patterns, so integration is straightforward.
We cover 20 engineering disciplines including Mechanical, Electrical, Civil, Aerospace, Chemical, Computer, Biomedical, Materials, Nuclear, and more—with 110 subfields and specializations. Whether you're working on heat transfer, circuit analysis, structural loads, or reaction kinetics, there's deep coverage waiting for you.
General LLMs can hallucinate formulas that look correct but aren't. engicloud.ai provides curated calculators, not AI-generated guesses. Read our blog article about “How We Created and Cross-Checked ~20,000 Engineering Models” if you’d like to learn more. You get grounded physics, not probabilistic text generation.
engicloud.ai is an AI-powered engineering knowledge platform containing +20,000 equations / ready-to-use Python implementations across 20 engineering fields. It combines the encapsulated python-based models (calculators), their assembly into projects, version tracking, AI semantic search, an AI workflow composer and AI-driven model generation. ou can build workflows as well as find, execute, and chain equations without starting from scratch.