AI-Driven Design & IP Management with GDP-AI
Boosts Design Team Efficiency and Accelerates Workflows
Powerful generative and agentic AI capabilities are embedded directly into IC Manage GDP-AI design & IP management — enabling engineers to navigate and manage complex designs faster and more intuitively.
The combination of natural language queries, live project insights, workflow code generation, and semantic access to deep technical knowledge boosts designer efficiency and shortens the time to error-free tapeouts. These capacilities modernize how engineers interact with and extract value from their design data.
AI-Driven Design & IP Management
IC Manage GDP-AI embeds AI directly into the design & IP management workflow, enabling engineers to navigate and manage complex designs faster and more intuitively.
By providing a centralized interface that combines live project insights, workflow code generation, and unified access to deep technical knowledge, the platform boosts designer efficiency and shortens the time to error-free tapeouts.
GDP-AI delivers leading AI capabilities that reduce manual effort and modernize how engineers interact with and extract value from their design data.
Natural Language Interface
GDP-AI’s natural language interface allows engineers to navigate and query complex design data through conversational requests. The AI accurately interprets intent, queries the live system, and delivers precise responses in natural language.
This feature eliminates the need to manually execute CLI syntax or navigate the GUI. Any engineer can quickly retrieve relevant information about designs or IP without needing deep familiarity with the CLI, GUI, or IP taxonomy structures.
AI-based workflow automation
GDP-AI’s automated script generation uses AI to write workflow automation code populated with the correct GDP commands for complex automation tasks – minimizing the engineering effort required to manually author and validate each script.
By translating plain language descriptions into tested executable code, GDP-AI enables engineers to automatically generate scripts for tasks such as creating workspaces, configurations, new branches, and derivatives in seconds.
Real-time Access to Structured Data
GDP-AI leverages the Model Context Protocol (MCP) to provide direct, real-time access to the structured data in GDP-AI’s database through secure, read-only tools. This integration ensures that the AI-generated insights are grounded in actual project data rather than static documentation or assumptions.
Examples include capturing specific object properties, recent design changes, and system configuration details. Additionally, the architecture enables design teams to customize and extend GDP-AI’s capabilities to support their own workflows, analysis, and data queries.
Semantic Documentation Search
GDP-AI provides semantic search capabilities across the extensive GDP-AI documentation library using Retrieval Augmented Generation (RAG). The system understands the contextual meaning of user queries as well as keywords, enabling it to provide accurate answers with references to official documentation.
Engineers can immediately access expert-level guidance without sifting through search results or navigating large document sets. They can quickly access technical instructions and best practices for setting up workflows, managing tapeout configurations, reusing IP, and organizing complex design hierarchies.