Chipmind provides AI-driven agents that automate repetitive low-level tasks in semiconductor design and verification, reducing engineering effort by up to 40%. The agents integrate with any EDA flow, adapting to existing toolchains, scripts, and RTL codebases to accelerate the path from requirements to GDSII. Built on locally trained models, the solution maintains full confidentiality of proprietary chip designs while offering visual, architecture-aware reasoning for complex layouts.
Funding
Funding not disclosed
Founders
Product
Problem
Chip design and verification are complex processes that require significant engineering time, with engineers spending a large portion of their time on repetitive, low-level tasks. The complexity of modern chip design necessitates expertise across various Electronic Design Automation (EDA) tools and workflows.
Solution
Chipmind develops AI agents that automate chip design and verification tasks by leveraging open-source EDA tools. Their platform employs agentic AI, enabling seamless collaboration between AI agents and human engineers. Chipmind's technology deeply understands the underlying design, tools, and workflow, allowing engineers to focus on more complex challenges and streamline the chip development process from requirements to GDSII. The platform uses custom AI models trained locally with datasets generated from in-house designs, ensuring confidentiality and protecting chip designs and flows.
Target Audience
Chipmind targets engineers and product managers at semiconductor companies who seek to accelerate chip development and reduce time spent on repetitive tasks.
Features
- AI agents for autonomous solving of chip design and verification tasks
- Compatibility with open-source EDA tools
- Architecture-aware reasoning capabilities evaluated on real-world tasks
- Custom AI models (LLMs) trained locally with in-house design datasets
- Algorithms with deep understanding of underlying design, tools, and flows
- Seamless collaboration between AI agents and human engineers