RapidRF AI uses DANTE, its transistor modeling engine, to fit classical Angelov models with standard charge formulations and neural network-based charges for large signal measurements.
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Model accuracy is the single most under-discussed problem in AI-driven chip design today, and it decides everything in RFIC and MMIC development. A single failed tapeout…
Company
RapidRF AI
AI Designs RF
- Industry
- Telecommunications
- Location
- San Diego, US
- Company size
- 2–10 employees
About RapidRF AI
RF chip design is one of engineering's most demanding disciplines. It takes years to develop the intuition needed to turn a specification into a working RFIC. At RapidRF, we encoded that intuition into AI. Our platform, Circuit Studio, gives engineers access to HeaviMind, an AI model that understands RF physics at a fundamental level and translates specifications directly into optimized, fabrication-ready circuits. This is not a co-pilot. It is a design engine. Our work spans GaAs and GaN process technologies. Every design is grounded in verified physics, not approximation. RapidRF exists because the best RF engineers in the world should be spending their time on problems that require human judgment, not on months of manual iteration. We take care of the rest. From spec. Not from scratch.
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