Stillwind

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.

High-Level Overview

Stillwind is a Swiss startup focused on autonomous electrical engineering, pioneering AI-driven tools to simplify and accelerate the design process for electronic components. Their flagship product, *Stillwind Search*, is a natural-language search engine that translates plain English queries into precise electronic part specifications by leveraging a proprietary database of millions of components. This innovation aims to make finding the right electronic parts as intuitive as texting, significantly reducing the complexity and time engineers spend on component selection. Stillwind primarily serves B2B clients in engineering and product design sectors, addressing the challenge of inefficient and coarse-grained electronic part searches. The company is gaining momentum by advancing towards real-time simulation and AI-enhanced design verification, positioning itself at the forefront of autonomous electrical engineering[1][2][5].

Origin Story

Founded recently in Zürich, Switzerland, Stillwind was created by a small, focused team of four. The founders bring expertise in AI, electronics, and embedded systems, motivated by the inefficiencies in current electronic component search and design workflows. The idea emerged from recognizing that existing databases and search tools lack semantic understanding and fine-grained specification matching, which hampers engineers’ productivity. Early traction includes the development of their proprietary semantic+exact search technology and plans to integrate real-time digital and analog circuit simulation powered by machine learning. These pivotal innovations mark Stillwind’s evolution from a search tool to a comprehensive autonomous engineering platform[1][2][5].

Core Differentiators

• Product Differentiators: Stillwind Search uniquely combines natural language processing with a proprietary, richly annotated database, enabling semantic and exact matches simultaneously—something current electronic part databases cannot do effectively.
• Developer Experience: The product offers an intuitive, text-message-like interface that drastically simplifies the search process for engineers.
• Speed and Precision: By converting vague requirements into fine-grained specifications, Stillwind accelerates part selection and reduces errors.
• Advanced Simulation Integration: Plans to incorporate real-time digital and analog circuit simulation, including firmware-in-the-loop, to enable rapid trial-and-error cycles akin to software development.
• AI-Driven Intelligence: Employing spatial reasoning models to tackle complex tasks like component placement and routing, which are traditionally challenging for language-based AI systems[2].

Role in the Broader Tech Landscape

Stillwind is riding the wave of AI automation in engineering, particularly the trend toward autonomous design tools that reduce manual, repetitive tasks. The timing is critical as electronic systems grow increasingly complex and demand faster innovation cycles. Market forces such as the proliferation of IoT devices, embedded systems, and the need for rapid prototyping favor solutions that streamline component selection and verification. By integrating AI with real-time simulation, Stillwind could influence the broader ecosystem by setting new standards for how electrical engineering workflows are automated, potentially inspiring further innovation in AI-powered hardware design tools[2].

Quick Take & Future Outlook

Looking ahead, Stillwind is poised to expand beyond search into a full autonomous engineering platform that integrates AI-driven design, simulation, and verification. Trends shaping their journey include advances in machine learning for analog circuit modeling and spatial reasoning, as well as growing demand for faster hardware development cycles. Their influence may evolve from a niche search tool to a critical enabler of next-generation electrical engineering workflows, helping engineers innovate faster and with greater confidence. This trajectory aligns with the broader shift toward AI-augmented engineering, making Stillwind a notable player to watch in the autonomous engineering space[2].