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PreFab Photonics is a Research & Education tool that predicts photonic chip manufacturing outcomes. It uses AI-powered virtual nanofabrication to eliminate costly design iterations and accelerate time-to-market.
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PreFab Photonics offers an AI-powered virtual nanofabrication platform that simulates photonic chip fabrication with foundry-accurate process models. It predicts lithographic effects and process variation before tape-out, helping to eliminate design-manufacturing iteration loops. The platform allows users to integrate PreFab into existing Python workflows for manufacturing predictions in seconds, or design visually using Rosette, a browser-based photonic layout editor with built-in virtual nanofabrication. Beyond prediction, PreFab enables fabrication-aware optimization through differentiable models, allowing for inverse design that accounts for manufacturing constraints and optimizes for post-fab outcomes. It also helps in pre-compensating designs to match target specifications and provides insights into potential yield and robustness by highlighting uncertainty in predictions.
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Not publicly disclosed. Check prefabphotonics.com for current pricing.
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