Challenges for system designers
System and subsystem design has remained largely a manual process, particularly at the early stages of the design. With increasing functionality and complexities, the size of datasheet is increasing and so is the time spent by system designers in digesting the information in the voluminous design guides.
Board level system design challenges
IC complexities have increased significantly, too much time spent on interpreting, understanding and applying the rules of use of ICs to your designs.
System and subsystem design are done using Excel without any EDA tools to support fabric-based design.
Systems designers are looking for a needle in haystack when searching for parts. Therefore, engineers are frustrated.
HW, SW, AI/ML Ecosystem are integrated through Excel spreadsheets. EDA tools don’t support all the Electronic System needs for HW + SW + AI/ML Ecosystem.
Out of sync
Most system designers, especially those that are designing products for a long life cycle, have to work with multiple distributors tools, semiconductor websites to find a part that meets their needs.
Once they find a part, they think it might fit the need. They have to then search for software ecosystems that meet their long like cycle needs. This is a manual disjointed approach that is similar to what they used in the 20th century!
ANEW DESIGN AUTOMATION IMPROVES THE ELECTRONIC SYSTEM DESIGN PROCESS THROUGH AI/ML INNOVATION
ANEW DA's Smart System Designer approach
Smart System Designer addresses the unfufilled need in the PCB design space using AI/ML techniques
The system designers do system design at higher subsystem and system level. They develop a Rich BOM for the system that meets system requirements.
Software and AI/ML needs during subsystem and part selection process to ensure that the right software, hardware stacks are chosen for the life of the system.
Provide one consistent user interface for creating a Rich BOM that meets system requirements for long life cycle products.
Smart System Designer
uses AI/ML techniques to provide pertinent information to the system designer in one place.
Accelerates the system design process
Reduces the total cost of the product
Improves supply chain robustness
Smart Google search eliminates times wasted on searching parts.
Rich data for electrical software, AI and lifecycle can be used by rest of the organization.
Design intent driven parts selection and smart integration with Datasheets provides key information from datasheets in SSD.
Benefits to semiconductors – building faster reference designs for IC to be released, gathering and rendering intelligence
Minimizes multi-vendor part searches
Brings HW/SW & AIML into one environment
Improves productivity of the system designer