Design Forge integrates with Ansys HFSS to automatically capture every design decision, simulation change, and the underlying reasoning as RF engineers work, creating a version‑controlled knowledge base without extra effort.
Funding
Funding not disclosed
Founders
Product
Problem
RF and electromagnetic design teams lose critical expertise because design decisions, reasoning, and intuition are not captured within simulation tools, leading to knowledge loss when engineers leave or change roles and creating inefficiencies in repeatable design work.
Solution
Design Forge integrates directly with Ansys HFSS to passively record every design action, simulation change, and the associated reasoning as engineers work. An AI coding agent translates high‑level engineering intent into accurate HFSS scripts, removing the need for manual scripting. The captured data is organized into a version‑controlled knowledge base that preserves expert insights and enables automatic documentation. As the knowledge base grows, the platform surfaces patterns and actionable insights drawn from the team’s validated experience, helping engineers make more informed decisions faster. Deployment can be tailored to on‑premise or cloud environments, ensuring data security and ownership.
Target Audience
Primary customers are RF and electromagnetic engineering teams in corporations, research labs, and academic groups that rely on Ansys HFSS for simulation and need to retain and leverage institutional design knowledge.
Features
- Passive workflow capture that logs design decisions, simulation parameters, and execution order without requiring extra effort from users
- AI coding agent that generates and runs precise HFSS scripts directly from natural language engineering intent
- Structured, version‑controlled knowledge base that stores annotated design actions and expert reasoning
- Design intelligence engine that identifies recurring patterns and provides insights based on the organization’s own design history
- Flexible deployment options (cloud or on‑premise) with strict data isolation and ownership guarantees
- Integration with existing HFSS workflows, preserving current tool usage while adding intelligence layers