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Autonomous Electrical Engineering
Our first product, Stillwind Search, makes finding
an electronic part as easy as writing a text message. The search engine turns natural
language queries into fine-grained specifications that are matched against our proprietary
database of millions of parts.
This is the first step towards autonomous electrical engineering.
Our Path to Autonomous Electrical Engineering
Data Foundation
Semantic+Exact Component Search
Current databases of electronic parts like distributor catalogues and datasheets aggregators know very little about their parts apart from the datasheet URL. They use coarse-grained schemas. Additionally, it is not possible to simultaneously search in the databases both semantically and exactly (i.e., a query like "a MCU I can put into a toy rocket with 5V operating voltage" is difficult to exactly match with only embedding searches, etc.).
Stillwind Search, our search engine currently in development, is designed to address these challenges.
Verification
Real-Time Digital Simulation
For software developers, it's natural to have a tight and fast trial-and-error loop where we can make some changes to our software and test the results instantly. We want the same thing for electrical engineers and embedded software developers.Analog Circuit Modeling
Real complexity is not only in digital components but also in analog components that have complex dynamics. Research has shown that they can be modeled with modern machine learning methods. We employ these methods to build (reasonably) accurate real-time simulations of analog circuits.Firmware-in-the-Loop
Intelligence
Spatial Reasoning
Language-based foundation models are inherently bad at spatial reasoning, which is necessary for the tasks of placing and routing components. Any reasonable AI hardware engineering system needs a spatial intelligence layer, probably achievable with finetuned energy-based models.