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 derivated 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, process has to be re-executed from scratch manually.
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.
Slow product knowledge learning curve. Architecture is frozen after only few iterations, design freedom becomes very limited during the design phase, letting few chances to discover a high performing design solution
Fast product knowledge learning curve. At conceptual phase, high performing architecture is selected after evaluating thousands of solutions in few hours. Opportunities and risks are identified early, design phase is shorter and cost controlled.