Artificial Intelligence for Concurrent Engineering

Model your technical knowledge and structure it into intelligent design workflows that will assist you in everyday engineering tasks

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Reduce design iterations


Manual, stepped process and lack of data for decision making at conceptual phase

Today's knowledge is mostly scattered across the company in files and in expert's brains.  To design a product, knowledge is therefore applied sequentially by the stakeholders. At the end of the conceptual design phase, a product architecture is frozen based on few assumptions and available data. A design coming from this architecture is built in a CAD software and improved with CAE until requirements are met. Odds to obtain a sustainable, innovative and profitable design are low. When project input changes, the process has to be re-executed from scratch manually.

T o m o r r o w

Automated process and relevant data for decision making at conceptual phase

All stakeholders gather and formalize all knowledge for designing the product from which an Engineering Bot is developped. The Bot acts as a robotic companion for architects and engineers helping them to make the right decision.
Bots generate in few hours with AI thousands of performance driven architectures early in the product development cycle. For the best design candidates, a 3D CAD geometry is generated for further detailed analysis in CAD and CAE software.
The Bot can be re-used easily at any project input changes.

collaborative automated design process with artificial intelligence

How Dessia disrupts the engineering process

Shorten your development cycle, mitigate risks and reduce costs

LOW CODE : Thanks to Dessia’s intuitive visual editor, you can empower any of your engineers to works like a genius programmer, withouttouching a line of code.

Workflow for generative engineering
Design automation of a car architecture

GEOMETRIC 3D MODELER: A geometric 3D modeler enabling you to run thousands of 3D calculations in the blink of aneye.

OPEN ARCHITECTURE : Our platform comes with a SDK (software Development Kit) running on Python. You will be able to  to build your own apps.

Python for Design and engineering automation
Dessia Technologies Concurrent engineering platform supported by deterministic artificial intelligence

EXPLAINABLE AI: Thanks to 10 years of R&D, our explainable AI models are the best you could find out there and are designed to operate on hardware engineering use cases.

Our modelisation in Python will accelerate your transition from documents to models, and enable you to use MBSE squelettons to constrain design explorations.

MBSE model of a car thermal architecture zoomed in

Empower every engineer with AI