Generative AI solutions for better hardware schematics

Solutions

Softweb Solutions understands the importance of thorough discussions and a clear understanding of our client’s challenges to provide tailored solutions. To address these challenges and optimize the company’s product development process through generative AI, Softweb Solutions followed a comprehensive approach:

Requirements gathering

Our team of experts initiated in-depth discussions with key stakeholders and the client to gather detailed information about their current design and production processes. These discussions involve understanding the organization’s specific pain points, limitations and objectives. This ensured a holistic understanding of their challenges.

Process analysis

We conducted a detailed analysis of their existing design and production processes. This analysis helped to identify areas that can be improved and optimized through the implementation of generative AI solutions.

Generative design algorithms integration

Our team of AI experts integrated advanced generative AI algorithms to automatically generate numerous design variations. This is based on input design constraints, performance requirements and manufacturing limitations. This enables engineers to explore a wide range of innovative and efficient design solutions for complex automotive components.

Efficient design creation

We leveraged EAGLE (by Autodesk) to create hardware schematics that met their requirements. We converted their hardware schematics into robust circuit layouts using EAGLE. This allows the company to proficiently place components and establish interconnections to ensure an accurate representation of components such as sensors, actuators and control units.

Design space exploration

The generative AI model, in conjunction with EAGLE, enables rapid exploration of the design space. The AI model generates a multitude of design variations while adhering to the specified constraints. These variations were seamlessly imported into EAGLE, where they were further analyzed and evaluated for feasibility and performance.

• 81%

  increase in design accuracy

• 42%

  faster time-to-market

• 95%

  better design quality