AI Based Infrastructure and Automation Development

Scalable engineering infrastructure designed to accelerate semiconductor development cycles.

  • End-to-end CI/CD pipelines for RTL, DV, and PD
  • Jenkins-based automation frameworks
  • Regression orchestration and scheduling
  • Release management support
  • Multi-project scalable execution environments
  • Containerization / environment reproducibility (as applicable)
  • Artifact and results management
  • Access control and best practices
  • AI-assisted scripting and flow development
  • Data-driven analytics and dashboards
  • Automation for design/verification optimization
  • Quality gates and reporting