Generative AI in Engineering Workflows

Today with introduction of ChatGPT like tools, everyone knows how simple it is to use AI in general day to day tasks like writing emails, summarizing documents, and generating content. However, the real power and ROI of AI for companies comes from integrating AI into their engineering workflows. This is where Soliton Technologies excels, providing tailored solutions that harness the capabilities of generative AI to transform complex engineering tasks into efficient, automated processes.

Soliton Technologies is at the forefront of integrating Generative AI into engineering workflows, enabling organizations to leverage AI-driven solutions for enhanced productivity and innovation. Our expertise spans across various domains, including semiconductor design, test automation, and software development, where we apply generative AI techniques to streamline processes, improve decision-making, and accelerate time-to-market.

OUR EXPERTISE

AI Infrastructure as a Service

AI Agent Development as a Service

AI Model Development as a Service

Our Engagement Models

Soliton Technologies offers flexible engagement models to suit your needs, based on where you are in your AI journey

Discovery or Consultancy

If you are new to AI, and looking to understand how it can be applied to your engineering workflows, we can help you identify opportunities and develop a roadmap for AI integration.

Rapid Prototyping

For those who want to quickly validate AI concepts, looking to get a feel for the ROI of AI, we can build rapid prototypes that demonstrate the potential of AI in your specific context.

Full-scale Implementation

If you are ready to fully integrate AI into your engineering workflows, we can provide end-to-end solutions, from data engineering to model deployment and user interface development.

Use Cases of Generative AI in Engineering Workflows

 

  • Test Sequence Generation from Specifications: Automating the generation of test sequences from specifications, reducing manual effort and improving accuracy.
  • Driver Development from Instrument Manuals: Creating drivers for instruments based on their manuals, streamlining the development process and ensuring compliance with specifications.
  • Test Program Generation from Specifications: Automating the generation of test programs from specifications, enhancing efficiency and reducing time-to-market.
  • Data Analysis and Reporting: Using AI agents and with chat interfaces to analyze test data and generate reports, providing insights and recommendations based on the data.
  • Log Analysis, Insights and Root Cause Analysis: Automating the analysis of logs to identify patterns, insights, and root causes of issues, improving troubleshooting efficiency.
  • Eval GUI Development using GenerativeAI: Creating evaluation GUIs that allow customers to validate semiconductor products in lab setups, enhancing the evaluation experience and reducing reliance on support.
  • Datasheet Comprehension: Using AI to understand and extract relevant information from datasheets, improving the efficiency of product evaluation and selection.
  • Company or Product Chatbot: Developing chatbots that can answer questions about the company or its products, providing instant support and information to users.
  • Agentic Framework Development: Building frameworks that enable the development of agentic AI solutions, allowing for the creation of intelligent agents that can automate complex tasks and interact with users effectively.

Optimize your product development life cycle and your testing and measurement processes with state-of-the-art generative AI