Arkinous

Silicon Agent is an AI agent for semiconductor and chip engineering work. Taking a chip from idea to silicon means juggling specs, architecture trade-offs, process steps, datasheets, and design reviews spread across dozens of tools and documents. Small teams and students rarely have a senior engineer on hand to catch mistakes early, and mistakes found late in the flow are the most expensive ones. Silicon Agent works like a junior engineer with deep domain knowledge. You describe what you want to build or ask a question about a design, and the agent breaks the problem into steps: it reasons about architecture and performance limits (compute vs. memory bandwidth), checks choices against process and packaging constraints, pulls in relevant reference material, and returns a clear plan with the trade-offs explained. It can then iterate with you, revising the design as requirements change instead of starting over. The problem it solves: chip design knowledge is locked inside expensive tools and a small number of experienced engineers. Silicon Agent makes that expertise available to startups, students, and hardware hobbyists, so they can explore ideas, sanity-check designs, and learn the full sand-to-wafer flow much faster. Built by Arkinous, which already ships Sand to Wafer, a virtual simulation of each step of semiconductor manufacturing. Silicon Agent extends that work from teaching how chips are made to helping people actually design them.